25 |
* |
* |
26 |
****************************************************************************/ |
****************************************************************************/ |
27 |
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28 |
#include <string.h> |
#include <stdio.h> |
29 |
#include <stdlib.h> |
#include <stdlib.h> |
30 |
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#include <string.h> |
31 |
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32 |
#include "../portab.h" |
#include "../portab.h" |
33 |
#include "mbfunctions.h" |
#include "mbfunctions.h" |
39 |
#include "../bitstream/zigzag.h" |
#include "../bitstream/zigzag.h" |
40 |
#include "../dct/fdct.h" |
#include "../dct/fdct.h" |
41 |
#include "../dct/idct.h" |
#include "../dct/idct.h" |
42 |
#include "../quant/quant_mpeg4.h" |
#include "../quant/quant.h" |
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#include "../quant/quant_h263.h" |
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43 |
#include "../encoder.h" |
#include "../encoder.h" |
44 |
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45 |
#include "../image/reduced.h" |
#include "../image/reduced.h" |
46 |
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#include "../quant/quant_matrix.h" |
47 |
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48 |
MBFIELDTEST_PTR MBFieldTest; |
MBFIELDTEST_PTR MBFieldTest; |
49 |
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123 |
int16_t qcoeff[6 * 64], |
int16_t qcoeff[6 * 64], |
124 |
int16_t data[6*64]) |
int16_t data[6*64]) |
125 |
{ |
{ |
126 |
int i; |
int mpeg; |
127 |
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int scaler_lum, scaler_chr; |
128 |
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|
129 |
for (i = 0; i < 6; i++) { |
quant_intraFuncPtr const quant[2] = |
130 |
uint32_t iDcScaler = get_dc_scaler(pMB->quant, i < 4); |
{ |
131 |
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quant_h263_intra, |
132 |
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quant_mpeg_intra |
133 |
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}; |
134 |
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135 |
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mpeg = !!(pParam->vol_flags & XVID_VOL_MPEGQUANT); |
136 |
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scaler_lum = get_dc_scaler(pMB->quant, 1); |
137 |
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scaler_chr = get_dc_scaler(pMB->quant, 0); |
138 |
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|
139 |
/* Quantize the block */ |
/* Quantize the block */ |
140 |
start_timer(); |
start_timer(); |
141 |
if (!(pParam->vol_flags & XVID_VOL_MPEGQUANT)) { |
quant[mpeg](&data[0 * 64], &qcoeff[0 * 64], pMB->quant, scaler_lum, pParam->mpeg_quant_matrices); |
142 |
quant_intra(&data[i * 64], &qcoeff[i * 64], pMB->quant, iDcScaler); |
quant[mpeg](&data[1 * 64], &qcoeff[1 * 64], pMB->quant, scaler_lum, pParam->mpeg_quant_matrices); |
143 |
} else { |
quant[mpeg](&data[2 * 64], &qcoeff[2 * 64], pMB->quant, scaler_lum, pParam->mpeg_quant_matrices); |
144 |
quant4_intra(&data[i * 64], &qcoeff[i * 64], pMB->quant, iDcScaler); |
quant[mpeg](&data[3 * 64], &qcoeff[3 * 64], pMB->quant, scaler_lum, pParam->mpeg_quant_matrices); |
145 |
} |
quant[mpeg](&data[4 * 64], &qcoeff[4 * 64], pMB->quant, scaler_chr, pParam->mpeg_quant_matrices); |
146 |
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quant[mpeg](&data[5 * 64], &qcoeff[5 * 64], pMB->quant, scaler_chr, pParam->mpeg_quant_matrices); |
147 |
stop_quant_timer(); |
stop_quant_timer(); |
148 |
} |
} |
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} |
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149 |
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150 |
/* DeQuantize all blocks -- Intra mode */ |
/* DeQuantize all blocks -- Intra mode */ |
151 |
static __inline void |
static __inline void |
154 |
int16_t qcoeff[6 * 64], |
int16_t qcoeff[6 * 64], |
155 |
int16_t data[6*64]) |
int16_t data[6*64]) |
156 |
{ |
{ |
157 |
int i; |
int mpeg; |
158 |
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int scaler_lum, scaler_chr; |
159 |
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|
160 |
for (i = 0; i < 6; i++) { |
quant_intraFuncPtr const dequant[2] = |
161 |
uint32_t iDcScaler = get_dc_scaler(iQuant, i < 4); |
{ |
162 |
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dequant_h263_intra, |
163 |
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dequant_mpeg_intra |
164 |
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}; |
165 |
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166 |
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mpeg = !!(pParam->vol_flags & XVID_VOL_MPEGQUANT); |
167 |
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scaler_lum = get_dc_scaler(iQuant, 1); |
168 |
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scaler_chr = get_dc_scaler(iQuant, 0); |
169 |
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|
170 |
start_timer(); |
start_timer(); |
171 |
if (!(pParam->vol_flags & XVID_VOL_MPEGQUANT)) |
dequant[mpeg](&qcoeff[0 * 64], &data[0 * 64], iQuant, scaler_lum, pParam->mpeg_quant_matrices); |
172 |
dequant_intra(&qcoeff[i * 64], &data[i * 64], iQuant, iDcScaler); |
dequant[mpeg](&qcoeff[1 * 64], &data[1 * 64], iQuant, scaler_lum, pParam->mpeg_quant_matrices); |
173 |
else |
dequant[mpeg](&qcoeff[2 * 64], &data[2 * 64], iQuant, scaler_lum, pParam->mpeg_quant_matrices); |
174 |
dequant4_intra(&qcoeff[i * 64], &data[i * 64], iQuant, iDcScaler); |
dequant[mpeg](&qcoeff[3 * 64], &data[3 * 64], iQuant, scaler_lum, pParam->mpeg_quant_matrices); |
175 |
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dequant[mpeg](&qcoeff[4 * 64], &data[4 * 64], iQuant, scaler_chr, pParam->mpeg_quant_matrices); |
176 |
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dequant[mpeg](&qcoeff[5 * 64], &data[5 * 64], iQuant, scaler_chr, pParam->mpeg_quant_matrices); |
177 |
stop_iquant_timer(); |
stop_iquant_timer(); |
178 |
} |
} |
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} |
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static int |
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dct_quantize_trellis_h263_c(int16_t *const Out, const int16_t *const In, int Q, const uint16_t * const Zigzag, int Non_Zero); |
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179 |
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180 |
static int |
static int |
181 |
dct_quantize_trellis_mpeg_c(int16_t *const Out, const int16_t *const In, int Q, const uint16_t * const Zigzag, int Non_Zero); |
dct_quantize_trellis_c(int16_t *const Out, |
182 |
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const int16_t *const In, |
183 |
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int Q, |
184 |
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const uint16_t * const Zigzag, |
185 |
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const uint16_t * const QuantMatrix, |
186 |
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int Non_Zero, |
187 |
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int Sum); |
188 |
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189 |
/* Quantize all blocks -- Inter mode */ |
/* Quantize all blocks -- Inter mode */ |
190 |
static __inline uint8_t |
static __inline uint8_t |
200 |
int i; |
int i; |
201 |
uint8_t cbp = 0; |
uint8_t cbp = 0; |
202 |
int sum; |
int sum; |
203 |
int code_block; |
int code_block, mpeg; |
204 |
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205 |
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quant_interFuncPtr const quant[2] = |
206 |
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{ |
207 |
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quant_h263_inter, |
208 |
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quant_mpeg_inter |
209 |
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}; |
210 |
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211 |
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mpeg = !!(pParam->vol_flags & XVID_VOL_MPEGQUANT); |
212 |
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|
213 |
for (i = 0; i < 6; i++) { |
for (i = 0; i < 6; i++) { |
214 |
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|
215 |
/* Quantize the block */ |
/* Quantize the block */ |
216 |
start_timer(); |
start_timer(); |
217 |
if (!(pParam->vol_flags & XVID_VOL_MPEGQUANT)) { |
|
218 |
sum = quant_inter(&qcoeff[i*64], &data[i*64], pMB->quant); |
sum = quant[mpeg](&qcoeff[i*64], &data[i*64], pMB->quant, pParam->mpeg_quant_matrices); |
219 |
if ( (sum) && (frame->vop_flags & XVID_VOP_TRELLISQUANT) ) { |
|
220 |
sum = dct_quantize_trellis_h263_c(&qcoeff[i*64], &data[i*64], pMB->quant, &scan_tables[0][0], 63)+1; |
if(sum && (frame->vop_flags & XVID_VOP_TRELLISQUANT)) { |
221 |
limit = 1; |
const uint16_t *matrix; |
222 |
} |
const static uint16_t h263matrix[] = |
223 |
} else { |
{ |
224 |
sum = quant4_inter(&qcoeff[i * 64], &data[i * 64], pMB->quant); |
16, 16, 16, 16, 16, 16, 16, 16, |
225 |
// if ( (sum) && (frame->vop_flags & XVID_VOP_TRELLISQUANT) ) |
16, 16, 16, 16, 16, 16, 16, 16, |
226 |
// sum = dct_quantize_trellis_mpeg_c (&qcoeff[i*64], &data[i*64], pMB->quant)+1; |
16, 16, 16, 16, 16, 16, 16, 16, |
227 |
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16, 16, 16, 16, 16, 16, 16, 16, |
228 |
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16, 16, 16, 16, 16, 16, 16, 16, |
229 |
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16, 16, 16, 16, 16, 16, 16, 16, |
230 |
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16, 16, 16, 16, 16, 16, 16, 16, |
231 |
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16, 16, 16, 16, 16, 16, 16, 16 |
232 |
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}; |
233 |
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234 |
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matrix = (mpeg)?get_inter_matrix(pParam->mpeg_quant_matrices):h263matrix; |
235 |
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sum = dct_quantize_trellis_c(&qcoeff[i*64], &data[i*64], |
236 |
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pMB->quant, &scan_tables[0][0], |
237 |
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matrix, |
238 |
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63, |
239 |
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sum); |
240 |
} |
} |
241 |
stop_quant_timer(); |
stop_quant_timer(); |
242 |
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|
275 |
int16_t qcoeff[6 * 64], |
int16_t qcoeff[6 * 64], |
276 |
const uint8_t cbp) |
const uint8_t cbp) |
277 |
{ |
{ |
278 |
int i; |
int mpeg; |
279 |
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280 |
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quant_interFuncPtr const dequant[2] = |
281 |
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{ |
282 |
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dequant_h263_inter, |
283 |
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dequant_mpeg_inter |
284 |
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}; |
285 |
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286 |
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mpeg = !!(pParam->vol_flags & XVID_VOL_MPEGQUANT); |
287 |
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for (i = 0; i < 6; i++) { |
|
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if (cbp & (1 << (5 - i))) { |
|
288 |
start_timer(); |
start_timer(); |
289 |
if (!(pParam->vol_flags & XVID_VOL_MPEGQUANT)) |
if(cbp & (1 << (5 - 0))) dequant[mpeg](&data[0 * 64], &qcoeff[0 * 64], iQuant, pParam->mpeg_quant_matrices); |
290 |
dequant_inter(&data[i * 64], &qcoeff[i * 64], iQuant); |
if(cbp & (1 << (5 - 1))) dequant[mpeg](&data[1 * 64], &qcoeff[1 * 64], iQuant, pParam->mpeg_quant_matrices); |
291 |
else |
if(cbp & (1 << (5 - 2))) dequant[mpeg](&data[2 * 64], &qcoeff[2 * 64], iQuant, pParam->mpeg_quant_matrices); |
292 |
dequant4_inter(&data[i * 64], &qcoeff[i * 64], iQuant); |
if(cbp & (1 << (5 - 3))) dequant[mpeg](&data[3 * 64], &qcoeff[3 * 64], iQuant, pParam->mpeg_quant_matrices); |
293 |
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if(cbp & (1 << (5 - 4))) dequant[mpeg](&data[4 * 64], &qcoeff[4 * 64], iQuant, pParam->mpeg_quant_matrices); |
294 |
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if(cbp & (1 << (5 - 5))) dequant[mpeg](&data[5 * 64], &qcoeff[5 * 64], iQuant, pParam->mpeg_quant_matrices); |
295 |
stop_iquant_timer(); |
stop_iquant_timer(); |
296 |
} |
} |
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} |
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} |
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297 |
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298 |
typedef void (transfer_operation_8to16_t) (int16_t *Dst, const uint8_t *Src, int BpS); |
typedef void (transfer_operation_8to16_t) (int16_t *Dst, const uint8_t *Src, int BpS); |
299 |
typedef void (transfer_operation_16to8_t) (uint8_t *Dst, const int16_t *Src, int BpS); |
typedef void (transfer_operation_16to8_t) (uint8_t *Dst, const int16_t *Src, int BpS); |
311 |
uint32_t stride2 = stride / 2; |
uint32_t stride2 = stride / 2; |
312 |
uint32_t next_block = stride * 8; |
uint32_t next_block = stride * 8; |
313 |
int32_t cst; |
int32_t cst; |
314 |
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int vop_reduced; |
315 |
uint8_t *pY_Cur, *pU_Cur, *pV_Cur; |
uint8_t *pY_Cur, *pU_Cur, *pV_Cur; |
316 |
const IMAGE * const pCurrent = &frame->image; |
const IMAGE * const pCurrent = &frame->image; |
317 |
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transfer_operation_8to16_t * const functions[2] = |
318 |
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{ |
319 |
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(transfer_operation_8to16_t *)transfer_8to16copy, |
320 |
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(transfer_operation_8to16_t *)filter_18x18_to_8x8 |
321 |
|
}; |
322 |
transfer_operation_8to16_t *transfer_op = NULL; |
transfer_operation_8to16_t *transfer_op = NULL; |
323 |
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|
324 |
if ((frame->vop_flags & XVID_VOP_REDUCED)) { |
vop_reduced = !!(frame->vop_flags & XVID_VOP_REDUCED); |
325 |
|
|
326 |
/* Image pointers */ |
/* Image pointers */ |
327 |
pY_Cur = pCurrent->y + (y_pos << 5) * stride + (x_pos << 5); |
pY_Cur = pCurrent->y + (y_pos << (4+vop_reduced)) * stride + (x_pos << (4+vop_reduced)); |
328 |
pU_Cur = pCurrent->u + (y_pos << 4) * stride2 + (x_pos << 4); |
pU_Cur = pCurrent->u + (y_pos << (3+vop_reduced)) * stride2 + (x_pos << (3+vop_reduced)); |
329 |
pV_Cur = pCurrent->v + (y_pos << 4) * stride2 + (x_pos << 4); |
pV_Cur = pCurrent->v + (y_pos << (3+vop_reduced)) * stride2 + (x_pos << (3+vop_reduced)); |
330 |
|
|
331 |
/* Block size */ |
/* Block size */ |
332 |
cst = 16; |
cst = 8<<vop_reduced; |
333 |
|
|
334 |
/* Operation function */ |
/* Operation function */ |
335 |
transfer_op = (transfer_operation_8to16_t*)filter_18x18_to_8x8; |
transfer_op = functions[vop_reduced]; |
|
} else { |
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/* Image pointers */ |
|
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pY_Cur = pCurrent->y + (y_pos << 4) * stride + (x_pos << 4); |
|
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pU_Cur = pCurrent->u + (y_pos << 3) * stride2 + (x_pos << 3); |
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pV_Cur = pCurrent->v + (y_pos << 3) * stride2 + (x_pos << 3); |
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/* Block size */ |
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cst = 8; |
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/* Operation function */ |
|
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transfer_op = (transfer_operation_8to16_t*)transfer_8to16copy; |
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} |
|
336 |
|
|
337 |
/* Do the transfer */ |
/* Do the transfer */ |
338 |
start_timer(); |
start_timer(); |
352 |
const uint32_t x_pos, |
const uint32_t x_pos, |
353 |
const uint32_t y_pos, |
const uint32_t y_pos, |
354 |
int16_t data[6 * 64], |
int16_t data[6 * 64], |
355 |
const uint32_t add, |
const uint32_t add, /* Must be 1 or 0 */ |
356 |
const uint8_t cbp) |
const uint8_t cbp) |
357 |
{ |
{ |
358 |
uint8_t *pY_Cur, *pU_Cur, *pV_Cur; |
uint8_t *pY_Cur, *pU_Cur, *pV_Cur; |
360 |
uint32_t stride2 = stride / 2; |
uint32_t stride2 = stride / 2; |
361 |
uint32_t next_block = stride * 8; |
uint32_t next_block = stride * 8; |
362 |
uint32_t cst; |
uint32_t cst; |
363 |
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int vop_reduced; |
364 |
const IMAGE * const pCurrent = &frame->image; |
const IMAGE * const pCurrent = &frame->image; |
365 |
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366 |
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/* Array of function pointers, indexed by [vop_reduced<<1+add] */ |
367 |
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transfer_operation_16to8_t * const functions[4] = |
368 |
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{ |
369 |
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(transfer_operation_16to8_t*)transfer_16to8copy, |
370 |
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(transfer_operation_16to8_t*)transfer_16to8add, |
371 |
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(transfer_operation_16to8_t*)copy_upsampled_8x8_16to8, |
372 |
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(transfer_operation_16to8_t*)add_upsampled_8x8_16to8 |
373 |
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}; |
374 |
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|
375 |
transfer_operation_16to8_t *transfer_op = NULL; |
transfer_operation_16to8_t *transfer_op = NULL; |
376 |
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|
377 |
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/* Makes this vars booleans */ |
378 |
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vop_reduced = !!(frame->vop_flags & XVID_VOP_REDUCED); |
379 |
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|
380 |
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/* Image pointers */ |
381 |
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pY_Cur = pCurrent->y + (y_pos << (4+vop_reduced)) * stride + (x_pos << (4+vop_reduced)); |
382 |
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pU_Cur = pCurrent->u + (y_pos << (3+vop_reduced)) * stride2 + (x_pos << (3+vop_reduced)); |
383 |
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pV_Cur = pCurrent->v + (y_pos << (3+vop_reduced)) * stride2 + (x_pos << (3+vop_reduced)); |
384 |
|
|
385 |
if (pMB->field_dct) { |
if (pMB->field_dct) { |
386 |
next_block = stride; |
next_block = stride; |
387 |
stride *= 2; |
stride *= 2; |
388 |
} |
} |
389 |
|
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if ((frame->vop_flags & XVID_VOP_REDUCED)) { |
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/* Image pointers */ |
|
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pY_Cur = pCurrent->y + (y_pos << 5) * stride + (x_pos << 5); |
|
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pU_Cur = pCurrent->u + (y_pos << 4) * stride2 + (x_pos << 4); |
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pV_Cur = pCurrent->v + (y_pos << 4) * stride2 + (x_pos << 4); |
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|
390 |
/* Block size */ |
/* Block size */ |
391 |
cst = 16; |
cst = 8<<vop_reduced; |
392 |
|
|
393 |
/* Operation function */ |
/* Operation function */ |
394 |
if(add) |
transfer_op = functions[(vop_reduced<<1) + add]; |
|
transfer_op = (transfer_operation_16to8_t*)add_upsampled_8x8_16to8; |
|
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else |
|
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transfer_op = (transfer_operation_16to8_t*)copy_upsampled_8x8_16to8; |
|
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} else { |
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|
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/* Image pointers */ |
|
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pY_Cur = pCurrent->y + (y_pos << 4) * stride + (x_pos << 4); |
|
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pU_Cur = pCurrent->u + (y_pos << 3) * stride2 + (x_pos << 3); |
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pV_Cur = pCurrent->v + (y_pos << 3) * stride2 + (x_pos << 3); |
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/* Block size */ |
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cst = 8; |
|
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/* Operation function */ |
|
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if(add) |
|
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transfer_op = (transfer_operation_16to8_t*)transfer_16to8add; |
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else |
|
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transfer_op = (transfer_operation_16to8_t*)transfer_16to8copy; |
|
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} |
|
395 |
|
|
396 |
/* Do the operation */ |
/* Do the operation */ |
397 |
start_timer(); |
start_timer(); |
450 |
uint8_t cbp; |
uint8_t cbp; |
451 |
uint32_t limit; |
uint32_t limit; |
452 |
|
|
453 |
/* |
/* There is no MBTrans8to16 for Inter block, that's done in motion compensation |
454 |
* There is no MBTrans8to16 for Inter block, that's done in motion compensation |
* already */ |
|
* already |
|
|
*/ |
|
455 |
|
|
456 |
/* Perform DCT (and field decision) */ |
/* Perform DCT (and field decision) */ |
457 |
MBfDCT(pParam, frame, pMB, x_pos, y_pos, data); |
MBfDCT(pParam, frame, pMB, x_pos, y_pos, data); |
459 |
/* Set the limit threshold */ |
/* Set the limit threshold */ |
460 |
limit = PVOP_TOOSMALL_LIMIT + ((pMB->quant == 1)? 1 : 0); |
limit = PVOP_TOOSMALL_LIMIT + ((pMB->quant == 1)? 1 : 0); |
461 |
|
|
462 |
|
if (frame->vop_flags & XVID_VOP_CARTOON) |
463 |
|
limit *= 3; |
464 |
|
|
465 |
/* Quantize the block */ |
/* Quantize the block */ |
466 |
cbp = MBQuantInter(pParam, frame, pMB, data, qcoeff, 0, limit); |
cbp = MBQuantInter(pParam, frame, pMB, data, qcoeff, 0, limit); |
467 |
|
|
489 |
uint8_t cbp; |
uint8_t cbp; |
490 |
uint32_t limit; |
uint32_t limit; |
491 |
|
|
492 |
/* |
/* There is no MBTrans8to16 for Inter block, that's done in motion compensation |
493 |
* There is no MBTrans8to16 for Inter block, that's done in motion compensation |
* already */ |
|
* already |
|
|
*/ |
|
494 |
|
|
495 |
/* Perform DCT (and field decision) */ |
/* Perform DCT (and field decision) */ |
496 |
MBfDCT(pParam, frame, pMB, x_pos, y_pos, data); |
MBfDCT(pParam, frame, pMB, x_pos, y_pos, data); |
498 |
/* Set the limit threshold */ |
/* Set the limit threshold */ |
499 |
limit = BVOP_TOOSMALL_LIMIT; |
limit = BVOP_TOOSMALL_LIMIT; |
500 |
|
|
501 |
|
if (frame->vop_flags & XVID_VOP_CARTOON) |
502 |
|
limit *= 2; |
503 |
|
|
504 |
/* Quantize the block */ |
/* Quantize the block */ |
505 |
cbp = MBQuantInter(pParam, frame, pMB, data, qcoeff, 1, limit); |
cbp = MBQuantInter(pParam, frame, pMB, data, qcoeff, 1, limit); |
506 |
|
|
508 |
* History comment: |
* History comment: |
509 |
* We don't have to DeQuant, iDCT and Transfer back data for B-frames. |
* We don't have to DeQuant, iDCT and Transfer back data for B-frames. |
510 |
* |
* |
511 |
* BUT some plugins require the original frame to be passed so we have |
* BUT some plugins require the rebuilt original frame to be passed so we |
512 |
* to take care of that here |
* have to take care of that here |
513 |
*/ |
*/ |
514 |
if((pParam->plugin_flags & XVID_REQORIGINAL)) { |
if((pParam->plugin_flags & XVID_REQORIGINAL)) { |
515 |
|
|
579 |
|
|
580 |
/* left blocks */ |
/* left blocks */ |
581 |
|
|
582 |
// 1=2, 2=4, 4=8, 8=1 |
/* 1=2, 2=4, 4=8, 8=1 */ |
583 |
MOVLINE(tmp, LINE(0, 1)); |
MOVLINE(tmp, LINE(0, 1)); |
584 |
MOVLINE(LINE(0, 1), LINE(0, 2)); |
MOVLINE(LINE(0, 1), LINE(0, 2)); |
585 |
MOVLINE(LINE(0, 2), LINE(0, 4)); |
MOVLINE(LINE(0, 2), LINE(0, 4)); |
586 |
MOVLINE(LINE(0, 4), LINE(2, 0)); |
MOVLINE(LINE(0, 4), LINE(2, 0)); |
587 |
MOVLINE(LINE(2, 0), tmp); |
MOVLINE(LINE(2, 0), tmp); |
588 |
|
|
589 |
// 3=6, 6=12, 12=9, 9=3 |
/* 3=6, 6=12, 12=9, 9=3 */ |
590 |
MOVLINE(tmp, LINE(0, 3)); |
MOVLINE(tmp, LINE(0, 3)); |
591 |
MOVLINE(LINE(0, 3), LINE(0, 6)); |
MOVLINE(LINE(0, 3), LINE(0, 6)); |
592 |
MOVLINE(LINE(0, 6), LINE(2, 4)); |
MOVLINE(LINE(0, 6), LINE(2, 4)); |
593 |
MOVLINE(LINE(2, 4), LINE(2, 1)); |
MOVLINE(LINE(2, 4), LINE(2, 1)); |
594 |
MOVLINE(LINE(2, 1), tmp); |
MOVLINE(LINE(2, 1), tmp); |
595 |
|
|
596 |
// 5=10, 10=5 |
/* 5=10, 10=5 */ |
597 |
MOVLINE(tmp, LINE(0, 5)); |
MOVLINE(tmp, LINE(0, 5)); |
598 |
MOVLINE(LINE(0, 5), LINE(2, 2)); |
MOVLINE(LINE(0, 5), LINE(2, 2)); |
599 |
MOVLINE(LINE(2, 2), tmp); |
MOVLINE(LINE(2, 2), tmp); |
600 |
|
|
601 |
// 7=14, 14=13, 13=11, 11=7 |
/* 7=14, 14=13, 13=11, 11=7 */ |
602 |
MOVLINE(tmp, LINE(0, 7)); |
MOVLINE(tmp, LINE(0, 7)); |
603 |
MOVLINE(LINE(0, 7), LINE(2, 6)); |
MOVLINE(LINE(0, 7), LINE(2, 6)); |
604 |
MOVLINE(LINE(2, 6), LINE(2, 5)); |
MOVLINE(LINE(2, 6), LINE(2, 5)); |
607 |
|
|
608 |
/* right blocks */ |
/* right blocks */ |
609 |
|
|
610 |
// 1=2, 2=4, 4=8, 8=1 |
/* 1=2, 2=4, 4=8, 8=1 */ |
611 |
MOVLINE(tmp, LINE(1, 1)); |
MOVLINE(tmp, LINE(1, 1)); |
612 |
MOVLINE(LINE(1, 1), LINE(1, 2)); |
MOVLINE(LINE(1, 1), LINE(1, 2)); |
613 |
MOVLINE(LINE(1, 2), LINE(1, 4)); |
MOVLINE(LINE(1, 2), LINE(1, 4)); |
614 |
MOVLINE(LINE(1, 4), LINE(3, 0)); |
MOVLINE(LINE(1, 4), LINE(3, 0)); |
615 |
MOVLINE(LINE(3, 0), tmp); |
MOVLINE(LINE(3, 0), tmp); |
616 |
|
|
617 |
// 3=6, 6=12, 12=9, 9=3 |
/* 3=6, 6=12, 12=9, 9=3 */ |
618 |
MOVLINE(tmp, LINE(1, 3)); |
MOVLINE(tmp, LINE(1, 3)); |
619 |
MOVLINE(LINE(1, 3), LINE(1, 6)); |
MOVLINE(LINE(1, 3), LINE(1, 6)); |
620 |
MOVLINE(LINE(1, 6), LINE(3, 4)); |
MOVLINE(LINE(1, 6), LINE(3, 4)); |
621 |
MOVLINE(LINE(3, 4), LINE(3, 1)); |
MOVLINE(LINE(3, 4), LINE(3, 1)); |
622 |
MOVLINE(LINE(3, 1), tmp); |
MOVLINE(LINE(3, 1), tmp); |
623 |
|
|
624 |
// 5=10, 10=5 |
/* 5=10, 10=5 */ |
625 |
MOVLINE(tmp, LINE(1, 5)); |
MOVLINE(tmp, LINE(1, 5)); |
626 |
MOVLINE(LINE(1, 5), LINE(3, 2)); |
MOVLINE(LINE(1, 5), LINE(3, 2)); |
627 |
MOVLINE(LINE(3, 2), tmp); |
MOVLINE(LINE(3, 2), tmp); |
628 |
|
|
629 |
// 7=14, 14=13, 13=11, 11=7 |
/* 7=14, 14=13, 13=11, 11=7 */ |
630 |
MOVLINE(tmp, LINE(1, 7)); |
MOVLINE(tmp, LINE(1, 7)); |
631 |
MOVLINE(LINE(1, 7), LINE(3, 6)); |
MOVLINE(LINE(1, 7), LINE(3, 6)); |
632 |
MOVLINE(LINE(3, 6), LINE(3, 5)); |
MOVLINE(LINE(3, 6), LINE(3, 5)); |
634 |
MOVLINE(LINE(3, 3), tmp); |
MOVLINE(LINE(3, 3), tmp); |
635 |
} |
} |
636 |
|
|
637 |
|
/***************************************************************************** |
638 |
|
* Trellis based R-D optimal quantization |
639 |
|
* |
640 |
|
* Trellis Quant code (C) 2003 Pascal Massimino skal(at)planet-d.net |
641 |
|
* |
642 |
|
****************************************************************************/ |
643 |
|
|
644 |
|
/*---------------------------------------------------------------------------- |
645 |
|
* |
646 |
|
* Trellis-Based quantization |
647 |
|
* |
648 |
|
* So far I understand this paper: |
649 |
|
* |
650 |
|
* "Trellis-Based R-D Optimal Quantization in H.263+" |
651 |
|
* J.Wen, M.Luttrell, J.Villasenor |
652 |
|
* IEEE Transactions on Image Processing, Vol.9, No.8, Aug. 2000. |
653 |
|
* |
654 |
|
* we are at stake with a simplified Bellmand-Ford / Dijkstra Single |
655 |
|
* Source Shortest Path algo. But due to the underlying graph structure |
656 |
|
* ("Trellis"), it can be turned into a dynamic programming algo, |
657 |
|
* partially saving the explicit graph's nodes representation. And |
658 |
|
* without using a heap, since the open frontier of the DAG is always |
659 |
|
* known, and of fixed size. |
660 |
|
*--------------------------------------------------------------------------*/ |
661 |
|
|
662 |
|
|
663 |
|
|
664 |
/************************************************************************ |
/* Codes lengths for relevant levels. */ |
|
* Trellis based R-D optimal quantization * |
|
|
* * |
|
|
* Trellis Quant code (C) 2003 Pascal Massimino skal(at)planet-d.net * |
|
|
* * |
|
|
************************************************************************/ |
|
|
|
|
|
|
|
|
static int |
|
|
dct_quantize_trellis_inter_mpeg_c (int16_t *qcoeff, const int16_t *data, int quant) |
|
|
{ return 63; } |
|
|
|
|
|
|
|
|
////////////////////////////////////////////////////////// |
|
|
// |
|
|
// Trellis-Based quantization |
|
|
// |
|
|
// So far I understand this paper: |
|
|
// |
|
|
// "Trellis-Based R-D Optimal Quantization in H.263+" |
|
|
// J.Wen, M.Luttrell, J.Villasenor |
|
|
// IEEE Transactions on Image Processing, Vol.9, No.8, Aug. 2000. |
|
|
// |
|
|
// we are at stake with a simplified Bellmand-Ford / Dijkstra Single |
|
|
// Source Shorted Path algo. But due to the underlying graph structure |
|
|
// ("Trellis"), it can be turned into a dynamic programming algo, |
|
|
// partially saving the explicit graph's nodes representation. And |
|
|
// without using a heap, since the open frontier of the DAG is always |
|
|
// known, and of fixed sized. |
|
|
// |
|
|
////////////////////////////////////////////////////////// |
|
|
|
|
|
|
|
|
////////////////////////////////////////////////////////// |
|
|
// Codes lengths for relevant levels. |
|
665 |
|
|
666 |
// let's factorize: |
/* let's factorize: */ |
667 |
static const uint8_t Code_Len0[64] = { |
static const uint8_t Code_Len0[64] = { |
668 |
30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30, |
30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30, |
669 |
30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30 }; |
30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30 }; |
728 |
3, 4, 5, 6, 6, 6, 7, 7, 7, 7, 8, 8, 8, 9, 9,10,10,10,10,10,10,10,10,12,12,13,13,12,13,14,15,15, |
3, 4, 5, 6, 6, 6, 7, 7, 7, 7, 8, 8, 8, 9, 9,10,10,10,10,10,10,10,10,12,12,13,13,12,13,14,15,15, |
729 |
15,16,16,16,16,17,17,17,18,18,19,19,19,19,19,19,19,19,21,21,22,22,30,30,30,30,30,30,30,30,30,30 }; |
15,16,16,16,16,17,17,17,18,18,19,19,19,19,19,19,19,19,21,21,22,22,30,30,30,30,30,30,30,30,30,30 }; |
730 |
|
|
731 |
// a few more table for LAST table: |
/* a few more table for LAST table: */ |
732 |
static const uint8_t Code_Len21[64] = { |
static const uint8_t Code_Len21[64] = { |
733 |
13,20,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30, |
13,20,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30, |
734 |
30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30}; |
30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30}; |
743 |
12,13,13,13,13,13,13,13,13,14,16,16,16,16,17,17,17,17,18,18,18,18,18,18,18,18,19,19,19,19,19,19}; |
12,13,13,13,13,13,13,13,13,14,16,16,16,16,17,17,17,17,18,18,18,18,18,18,18,18,19,19,19,19,19,19}; |
744 |
|
|
745 |
|
|
746 |
static const uint8_t * const B16_17_Code_Len[24] = { // levels [1..24] |
static const uint8_t * const B16_17_Code_Len[24] = { /* levels [1..24] */ |
747 |
Code_Len20,Code_Len19,Code_Len18,Code_Len17, |
Code_Len20,Code_Len19,Code_Len18,Code_Len17, |
748 |
Code_Len16,Code_Len15,Code_Len14,Code_Len13, |
Code_Len16,Code_Len15,Code_Len14,Code_Len13, |
749 |
Code_Len12,Code_Len11,Code_Len10,Code_Len9, |
Code_Len12,Code_Len11,Code_Len10,Code_Len9, |
752 |
Code_Len2, Code_Len1, Code_Len1, Code_Len1, |
Code_Len2, Code_Len1, Code_Len1, Code_Len1, |
753 |
}; |
}; |
754 |
|
|
755 |
static const uint8_t * const B16_17_Code_Len_Last[6] = { // levels [1..6] |
static const uint8_t * const B16_17_Code_Len_Last[6] = { /* levels [1..6] */ |
756 |
Code_Len24,Code_Len23,Code_Len22,Code_Len21, Code_Len3, Code_Len1, |
Code_Len24,Code_Len23,Code_Len22,Code_Len21, Code_Len3, Code_Len1, |
757 |
}; |
}; |
758 |
|
|
759 |
#define TL(q) 0xfe00/(q*q) |
/* TL_SHIFT controls the precision of the RD optimizations in trellis |
760 |
|
* valid range is [10..16]. The bigger, the more trellis is vulnerable |
761 |
|
* to overflows in cost formulas. |
762 |
|
* - 10 allows ac values up to 2^11 == 2048 |
763 |
|
* - 16 allows ac values up to 2^8 == 256 |
764 |
|
*/ |
765 |
|
#define TL_SHIFT 11 |
766 |
|
#define TL(q) ((0xfe00>>(16-TL_SHIFT))/(q*q)) |
767 |
|
|
768 |
static const int Trellis_Lambda_Tabs[31] = { |
static const int Trellis_Lambda_Tabs[31] = { |
769 |
TL( 1),TL( 2),TL( 3),TL( 4),TL( 5),TL( 6), TL( 7), |
TL( 1),TL( 2),TL( 3),TL( 4),TL( 5),TL( 6), TL( 7), |
773 |
}; |
}; |
774 |
#undef TL |
#undef TL |
775 |
|
|
776 |
static inline int Find_Last(const int16_t *C, const uint16_t *Zigzag, int i) |
static int __inline |
777 |
|
Find_Last(const int16_t *C, const uint16_t *Zigzag, int i) |
778 |
{ |
{ |
779 |
while(i>=0) |
while(i>=0) |
780 |
if (C[Zigzag[i]]) |
if (C[Zigzag[i]]) |
783 |
return -1; |
return -1; |
784 |
} |
} |
785 |
|
|
786 |
////////////////////////////////////////////////////////// |
/* this routine has been strippen of all debug code */ |
787 |
|
static int |
788 |
|
dct_quantize_trellis_c(int16_t *const Out, |
789 |
|
const int16_t *const In, |
790 |
|
int Q, |
791 |
|
const uint16_t * const Zigzag, |
792 |
|
const uint16_t * const QuantMatrix, |
793 |
|
int Non_Zero, |
794 |
|
int Sum) |
795 |
|
{ |
796 |
|
|
797 |
|
/* Note: We should search last non-zero coeffs on *real* DCT input coeffs |
798 |
|
* (In[]), not quantized one (Out[]). However, it only improves the result |
799 |
|
* *very* slightly (~0.01dB), whereas speed drops to crawling level :) |
800 |
|
* Well, actually, taking 1 more coeff past Non_Zero into account sometimes |
801 |
|
* helps. */ |
802 |
|
typedef struct { int16_t Run, Level; } NODE; |
803 |
|
|
804 |
|
NODE Nodes[65], Last; |
805 |
|
uint32_t Run_Costs0[64+1]; |
806 |
|
uint32_t * const Run_Costs = Run_Costs0 + 1; |
807 |
|
|
808 |
|
/* it's 1/lambda, actually */ |
809 |
|
const int Lambda = Trellis_Lambda_Tabs[Q-1]; |
810 |
|
|
811 |
|
int Run_Start = -1; |
812 |
|
uint32_t Min_Cost = 2<<TL_SHIFT; |
813 |
|
|
814 |
|
int Last_Node = -1; |
815 |
|
uint32_t Last_Cost = 0; |
816 |
|
|
817 |
|
int i, j; |
818 |
|
|
819 |
|
/* source (w/ CBP penalty) */ |
820 |
|
Run_Costs[-1] = 2<<TL_SHIFT; |
821 |
|
|
822 |
|
Non_Zero = Find_Last(Out, Zigzag, Non_Zero); |
823 |
|
if (Non_Zero<0) |
824 |
|
return 0; /* Sum is zero if there are only zero coeffs */ |
825 |
|
|
826 |
|
for(i=0; i<=Non_Zero; i++) { |
827 |
|
const int q = ((Q*QuantMatrix[Zigzag[i]])>>4); |
828 |
|
const int Mult = 2*q; |
829 |
|
const int Bias = (q-1) | 1; |
830 |
|
const int Lev0 = Mult + Bias; |
831 |
|
|
832 |
|
const int AC = In[Zigzag[i]]; |
833 |
|
const int Level1 = Out[Zigzag[i]]; |
834 |
|
const unsigned int Dist0 = Lambda* AC*AC; |
835 |
|
uint32_t Best_Cost = 0xf0000000; |
836 |
|
Last_Cost += Dist0; |
837 |
|
|
838 |
|
/* very specialized loop for -1,0,+1 */ |
839 |
|
if ((uint32_t)(Level1+1)<3) { |
840 |
|
int dQ; |
841 |
|
int Run; |
842 |
|
uint32_t Cost0; |
843 |
|
|
844 |
|
if (AC<0) { |
845 |
|
Nodes[i].Level = -1; |
846 |
|
dQ = Lev0 + AC; |
847 |
|
} else { |
848 |
|
Nodes[i].Level = 1; |
849 |
|
dQ = Lev0 - AC; |
850 |
|
} |
851 |
|
Cost0 = Lambda*dQ*dQ; |
852 |
|
|
853 |
|
Nodes[i].Run = 1; |
854 |
|
Best_Cost = (Code_Len20[0]<<TL_SHIFT) + Run_Costs[i-1]+Cost0; |
855 |
|
for(Run=i-Run_Start; Run>0; --Run) { |
856 |
|
const uint32_t Cost_Base = Cost0 + Run_Costs[i-Run]; |
857 |
|
const uint32_t Cost = Cost_Base + (Code_Len20[Run-1]<<TL_SHIFT); |
858 |
|
const uint32_t lCost = Cost_Base + (Code_Len24[Run-1]<<TL_SHIFT); |
859 |
|
|
860 |
|
/* TODO: what about tie-breaks? Should we favor short runs or |
861 |
|
* long runs? Although the error is the same, it would not be |
862 |
|
* spread the same way along high and low frequencies... */ |
863 |
|
|
864 |
|
/* Gruel: I'd say, favour short runs => hifreq errors (HVS) */ |
865 |
|
|
866 |
|
if (Cost<Best_Cost) { |
867 |
|
Best_Cost = Cost; |
868 |
|
Nodes[i].Run = Run; |
869 |
|
} |
870 |
|
|
871 |
|
if (lCost<Last_Cost) { |
872 |
|
Last_Cost = lCost; |
873 |
|
Last.Run = Run; |
874 |
|
Last_Node = i; |
875 |
|
} |
876 |
|
} |
877 |
|
if (Last_Node==i) |
878 |
|
Last.Level = Nodes[i].Level; |
879 |
|
} else if (51U>(uint32_t)(Level1+25)) { |
880 |
|
/* "big" levels (not less than ESC3, though) */ |
881 |
|
const uint8_t *Tbl_L1, *Tbl_L2, *Tbl_L1_Last, *Tbl_L2_Last; |
882 |
|
int Level2; |
883 |
|
int dQ1, dQ2; |
884 |
|
int Run; |
885 |
|
uint32_t Dist1,Dist2; |
886 |
|
int dDist21; |
887 |
|
|
888 |
|
if (Level1>1) { |
889 |
|
dQ1 = Level1*Mult-AC + Bias; |
890 |
|
dQ2 = dQ1 - Mult; |
891 |
|
Level2 = Level1-1; |
892 |
|
Tbl_L1 = (Level1<=24) ? B16_17_Code_Len[Level1-1] : Code_Len0; |
893 |
|
Tbl_L2 = (Level2<=24) ? B16_17_Code_Len[Level2-1] : Code_Len0; |
894 |
|
Tbl_L1_Last = (Level1<=6) ? B16_17_Code_Len_Last[Level1-1] : Code_Len0; |
895 |
|
Tbl_L2_Last = (Level2<=6) ? B16_17_Code_Len_Last[Level2-1] : Code_Len0; |
896 |
|
} else { /* Level1<-1 */ |
897 |
|
dQ1 = Level1*Mult-AC - Bias; |
898 |
|
dQ2 = dQ1 + Mult; |
899 |
|
Level2 = Level1 + 1; |
900 |
|
Tbl_L1 = (Level1>=-24) ? B16_17_Code_Len[Level1^-1] : Code_Len0; |
901 |
|
Tbl_L2 = (Level2>=-24) ? B16_17_Code_Len[Level2^-1] : Code_Len0; |
902 |
|
Tbl_L1_Last = (Level1>=- 6) ? B16_17_Code_Len_Last[Level1^-1] : Code_Len0; |
903 |
|
Tbl_L2_Last = (Level2>=- 6) ? B16_17_Code_Len_Last[Level2^-1] : Code_Len0; |
904 |
|
} |
905 |
|
|
906 |
|
Dist1 = Lambda*dQ1*dQ1; |
907 |
|
Dist2 = Lambda*dQ2*dQ2; |
908 |
|
dDist21 = Dist2-Dist1; |
909 |
|
|
910 |
|
for(Run=i-Run_Start; Run>0; --Run) |
911 |
|
{ |
912 |
|
const uint32_t Cost_Base = Dist1 + Run_Costs[i-Run]; |
913 |
|
uint32_t Cost1, Cost2; |
914 |
|
int bLevel; |
915 |
|
|
916 |
|
/* for sub-optimal (but slightly worth it, speed-wise) search, |
917 |
|
* uncomment the following: |
918 |
|
* if (Cost_Base>=Best_Cost) continue; |
919 |
|
* (? doesn't seem to have any effect -- gruel ) */ |
920 |
|
|
921 |
|
Cost1 = Cost_Base + (Tbl_L1[Run-1]<<TL_SHIFT); |
922 |
|
Cost2 = Cost_Base + (Tbl_L2[Run-1]<<TL_SHIFT) + dDist21; |
923 |
|
|
924 |
|
if (Cost2<Cost1) { |
925 |
|
Cost1 = Cost2; |
926 |
|
bLevel = Level2; |
927 |
|
} else { |
928 |
|
bLevel = Level1; |
929 |
|
} |
930 |
|
|
931 |
|
if (Cost1<Best_Cost) { |
932 |
|
Best_Cost = Cost1; |
933 |
|
Nodes[i].Run = Run; |
934 |
|
Nodes[i].Level = bLevel; |
935 |
|
} |
936 |
|
|
937 |
|
Cost1 = Cost_Base + (Tbl_L1_Last[Run-1]<<TL_SHIFT); |
938 |
|
Cost2 = Cost_Base + (Tbl_L2_Last[Run-1]<<TL_SHIFT) + dDist21; |
939 |
|
|
940 |
|
if (Cost2<Cost1) { |
941 |
|
Cost1 = Cost2; |
942 |
|
bLevel = Level2; |
943 |
|
} else { |
944 |
|
bLevel = Level1; |
945 |
|
} |
946 |
|
|
947 |
|
if (Cost1<Last_Cost) { |
948 |
|
Last_Cost = Cost1; |
949 |
|
Last.Run = Run; |
950 |
|
Last.Level = bLevel; |
951 |
|
Last_Node = i; |
952 |
|
} |
953 |
|
} /* end of "for Run" */ |
954 |
|
} else { |
955 |
|
/* Very very high levels, with no chance of being optimizable |
956 |
|
* => Simply pick best Run. */ |
957 |
|
int Run; |
958 |
|
for(Run=i-Run_Start; Run>0; --Run) { |
959 |
|
/* 30 bits + no distortion */ |
960 |
|
const uint32_t Cost = (30<<TL_SHIFT) + Run_Costs[i-Run]; |
961 |
|
if (Cost<Best_Cost) { |
962 |
|
Best_Cost = Cost; |
963 |
|
Nodes[i].Run = Run; |
964 |
|
Nodes[i].Level = Level1; |
965 |
|
} |
966 |
|
|
967 |
|
if (Cost<Last_Cost) { |
968 |
|
Last_Cost = Cost; |
969 |
|
Last.Run = Run; |
970 |
|
Last.Level = Level1; |
971 |
|
Last_Node = i; |
972 |
|
} |
973 |
|
} |
974 |
|
} |
975 |
|
|
976 |
|
|
977 |
|
Run_Costs[i] = Best_Cost; |
978 |
|
|
979 |
|
if (Best_Cost < Min_Cost + Dist0) { |
980 |
|
Min_Cost = Best_Cost; |
981 |
|
Run_Start = i; |
982 |
|
} else { |
983 |
|
/* as noticed by Michael Niedermayer (michaelni at gmx.at), |
984 |
|
* there's a code shorter by 1 bit for a larger run (!), same |
985 |
|
* level. We give it a chance by not moving the left barrier too |
986 |
|
* much. */ |
987 |
|
while( Run_Costs[Run_Start]>Min_Cost+(1<<TL_SHIFT) ) |
988 |
|
Run_Start++; |
989 |
|
|
990 |
|
/* spread on preceding coeffs the cost incurred by skipping this |
991 |
|
* one */ |
992 |
|
for(j=Run_Start; j<i; ++j) Run_Costs[j] += Dist0; |
993 |
|
Min_Cost += Dist0; |
994 |
|
} |
995 |
|
} |
996 |
|
|
997 |
|
/* It seems trellis doesn't give good results... just leave the block untouched |
998 |
|
* and return the original sum value */ |
999 |
|
if (Last_Node<0) |
1000 |
|
return Sum; |
1001 |
|
|
1002 |
|
/* reconstruct optimal sequence backward with surviving paths */ |
1003 |
|
memset(Out, 0x00, 64*sizeof(*Out)); |
1004 |
|
Out[Zigzag[Last_Node]] = Last.Level; |
1005 |
|
i = Last_Node - Last.Run; |
1006 |
|
Sum = 0; |
1007 |
|
while(i>=0) { |
1008 |
|
Out[Zigzag[i]] = Nodes[i].Level; |
1009 |
|
Sum += abs(Nodes[i].Level); |
1010 |
|
i -= Nodes[i].Run; |
1011 |
|
} |
1012 |
|
|
1013 |
|
return Sum; |
1014 |
|
} |
1015 |
|
|
1016 |
|
/* original version including heavy debugging info */ |
1017 |
|
|
1018 |
|
#ifdef DBGTRELL |
1019 |
|
|
1020 |
#define DBG 0 |
#define DBG 0 |
1021 |
|
|
1022 |
static uint32_t Evaluate_Cost(const int16_t *C, int Mult, int Bias, |
static __inline uint32_t Evaluate_Cost(const int16_t *C, int Mult, int Bias, |
1023 |
const uint16_t * Zigzag, int Max, int Lambda) |
const uint16_t * Zigzag, int Max, int Lambda) |
1024 |
{ |
{ |
1025 |
#if (DBG>0) |
#if (DBG>0) |
1026 |
const int16_t * const Ref = C + 6*64; |
const int16_t * const Ref = C + 6*64; |
1027 |
int Last = Max; |
int Last = Max; |
|
while(Last>=0 && C[Zigzag[Last]]==0) Last--; |
|
1028 |
int Bits = 0; |
int Bits = 0; |
1029 |
|
int Dist = 0; |
1030 |
|
int i; |
1031 |
|
uint32_t Cost; |
1032 |
|
|
1033 |
|
while(Last>=0 && C[Zigzag[Last]]==0) |
1034 |
|
Last--; |
1035 |
|
|
1036 |
if (Last>=0) { |
if (Last>=0) { |
|
Bits = 2; // CBP |
|
1037 |
int j=0, j0=0; |
int j=0, j0=0; |
1038 |
int Run, Level; |
int Run, Level; |
1039 |
|
|
1040 |
|
Bits = 2; /* CBP */ |
1041 |
while(j<Last) { |
while(j<Last) { |
1042 |
while(!C[Zigzag[j]]) j++; |
while(!C[Zigzag[j]]) |
1043 |
if (j==Last) break; |
j++; |
1044 |
|
if (j==Last) |
1045 |
|
break; |
1046 |
Level=C[Zigzag[j]]; |
Level=C[Zigzag[j]]; |
1047 |
Run = j - j0; |
Run = j - j0; |
1048 |
j0 = ++j; |
j0 = ++j; |
1049 |
if (Level>=-24 && Level<=24) Bits += B16_17_Code_Len[(Level<0) ? -Level-1 : Level-1][Run]; |
if (Level>=-24 && Level<=24) |
1050 |
else Bits += 30; |
Bits += B16_17_Code_Len[(Level<0) ? -Level-1 : Level-1][Run]; |
1051 |
|
else |
1052 |
|
Bits += 30; |
1053 |
} |
} |
1054 |
Level = C[Zigzag[Last]]; |
Level = C[Zigzag[Last]]; |
1055 |
Run = j - j0; |
Run = j - j0; |
1056 |
if (Level>=-6 && Level<=6) Bits += B16_17_Code_Len_Last[(Level<0) ? -Level-1 : Level-1][Run]; |
if (Level>=-6 && Level<=6) |
1057 |
else Bits += 30; |
Bits += B16_17_Code_Len_Last[(Level<0) ? -Level-1 : Level-1][Run]; |
1058 |
|
else |
1059 |
|
Bits += 30; |
1060 |
} |
} |
1061 |
|
|
|
int Dist = 0; |
|
|
int i; |
|
1062 |
for(i=0; i<=Last; ++i) { |
for(i=0; i<=Last; ++i) { |
1063 |
int V = C[Zigzag[i]]*Mult; |
int V = C[Zigzag[i]]*Mult; |
1064 |
if (V>0) V += Bias; |
if (V>0) |
1065 |
else if (V<0) V -= Bias; |
V += Bias; |
1066 |
|
else |
1067 |
|
if (V<0) |
1068 |
|
V -= Bias; |
1069 |
V -= Ref[Zigzag[i]]; |
V -= Ref[Zigzag[i]]; |
1070 |
Dist += V*V; |
Dist += V*V; |
1071 |
} |
} |
1072 |
uint32_t Cost = Lambda*Dist + (Bits<<16); |
Cost = Lambda*Dist + (Bits<<TL_SHIFT); |
1073 |
if (DBG==1) |
if (DBG==1) |
1074 |
printf( " Last:%2d/%2d Cost = [(Bits=%5.0d) + Lambda*(Dist=%6.0d) = %d ] >>12= %d ", Last,Max, Bits, Dist, Cost, Cost>>12 ); |
printf( " Last:%2d/%2d Cost = [(Bits=%5.0d) + Lambda*(Dist=%6.0d) = %d ] >>12= %d ", Last,Max, Bits, Dist, Cost, Cost>>12 ); |
1075 |
return Cost; |
return Cost; |
1084 |
dct_quantize_trellis_h263_c(int16_t *const Out, const int16_t *const In, int Q, const uint16_t * const Zigzag, int Non_Zero) |
dct_quantize_trellis_h263_c(int16_t *const Out, const int16_t *const In, int Q, const uint16_t * const Zigzag, int Non_Zero) |
1085 |
{ |
{ |
1086 |
|
|
1087 |
// Note: We should search last non-zero coeffs on *real* DCT input coeffs (In[]), |
/* |
1088 |
// not quantized one (Out[]). However, it only improves the result *very* |
* Note: We should search last non-zero coeffs on *real* DCT input coeffs (In[]), |
1089 |
// slightly (~0.01dB), whereas speed drops to crawling level :) |
* not quantized one (Out[]). However, it only improves the result *very* |
1090 |
// Well, actually, taking 1 more coeff past Non_Zero into account sometimes helps, |
* slightly (~0.01dB), whereas speed drops to crawling level :) |
1091 |
|
* Well, actually, taking 1 more coeff past Non_Zero into account sometimes helps. |
1092 |
|
*/ |
1093 |
typedef struct { int16_t Run, Level; } NODE; |
typedef struct { int16_t Run, Level; } NODE; |
1094 |
|
|
1095 |
NODE Nodes[65], Last; |
NODE Nodes[65], Last; |
1096 |
uint32_t Run_Costs0[64+1], * const Run_Costs = Run_Costs0 + 1; |
uint32_t Run_Costs0[64+1]; |
1097 |
|
uint32_t * const Run_Costs = Run_Costs0 + 1; |
1098 |
const int Mult = 2*Q; |
const int Mult = 2*Q; |
1099 |
const int Bias = (Q-1) | 1; |
const int Bias = (Q-1) | 1; |
1100 |
const int Lev0 = Mult + Bias; |
const int Lev0 = Mult + Bias; |
1101 |
const int Lambda = Trellis_Lambda_Tabs[Q-1]; // it's 1/lambda, actually |
const int Lambda = Trellis_Lambda_Tabs[Q-1]; /* it's 1/lambda, actually */ |
1102 |
|
|
1103 |
int Run_Start = -1; |
int Run_Start = -1; |
1104 |
Run_Costs[-1] = 2<<16; // source (w/ CBP penalty) |
Run_Costs[-1] = 2<<TL_SHIFT; /* source (w/ CBP penalty) */ |
1105 |
uint32_t Min_Cost = 2<<16; |
uint32_t Min_Cost = 2<<TL_SHIFT; |
1106 |
|
|
1107 |
int Last_Node = -1; |
int Last_Node = -1; |
1108 |
uint32_t Last_Cost = 0; |
uint32_t Last_Cost = 0; |
1109 |
|
|
1110 |
|
int i, j; |
1111 |
|
|
1112 |
#if (DBG>0) |
#if (DBG>0) |
1113 |
Last.Level = 0; Last.Run = -1; // just initialize to smthg |
Last.Level = 0; Last.Run = -1; /* just initialize to smthg */ |
1114 |
#endif |
#endif |
1115 |
|
|
|
int i, j; |
|
|
|
|
1116 |
Non_Zero = Find_Last(Out, Zigzag, Non_Zero); |
Non_Zero = Find_Last(Out, Zigzag, Non_Zero); |
1117 |
if (Non_Zero<0) |
if (Non_Zero<0) |
1118 |
return -1; |
return -1; |
1125 |
uint32_t Best_Cost = 0xf0000000; |
uint32_t Best_Cost = 0xf0000000; |
1126 |
Last_Cost += Dist0; |
Last_Cost += Dist0; |
1127 |
|
|
1128 |
if ((uint32_t)(Level1+1)<3) // very specialized loop for -1,0,+1 |
if ((uint32_t)(Level1+1)<3) /* very specialized loop for -1,0,+1 */ |
1129 |
{ |
{ |
1130 |
int dQ; |
int dQ; |
1131 |
int Run; |
int Run; |
1132 |
|
uint32_t Cost0; |
1133 |
|
|
1134 |
if (AC<0) { |
if (AC<0) { |
1135 |
Nodes[i].Level = -1; |
Nodes[i].Level = -1; |
1138 |
Nodes[i].Level = 1; |
Nodes[i].Level = 1; |
1139 |
dQ = Lev0 - AC; |
dQ = Lev0 - AC; |
1140 |
} |
} |
1141 |
const uint32_t Cost0 = Lambda*dQ*dQ; |
Cost0 = Lambda*dQ*dQ; |
1142 |
|
|
1143 |
Nodes[i].Run = 1; |
Nodes[i].Run = 1; |
1144 |
Best_Cost = (Code_Len20[0]<<16) + Run_Costs[i-1]+Cost0; |
Best_Cost = (Code_Len20[0]<<TL_SHIFT) + Run_Costs[i-1]+Cost0; |
1145 |
for(Run=i-Run_Start; Run>0; --Run) |
for(Run=i-Run_Start; Run>0; --Run) |
1146 |
{ |
{ |
1147 |
const uint32_t Cost_Base = Cost0 + Run_Costs[i-Run]; |
const uint32_t Cost_Base = Cost0 + Run_Costs[i-Run]; |
1148 |
const uint32_t Cost = Cost_Base + (Code_Len20[Run-1]<<16); |
const uint32_t Cost = Cost_Base + (Code_Len20[Run-1]<<TL_SHIFT); |
1149 |
// TODO: what about tie-breaks? Should we favor short runs or |
const uint32_t lCost = Cost_Base + (Code_Len24[Run-1]<<TL_SHIFT); |
1150 |
// long runs? Although the error is the same, it would not be |
|
1151 |
// spread the same way along high and low frequencies... |
/* |
1152 |
if (Cost<Best_Cost) |
* TODO: what about tie-breaks? Should we favor short runs or |
1153 |
{ |
* long runs? Although the error is the same, it would not be |
1154 |
|
* spread the same way along high and low frequencies... |
1155 |
|
*/ |
1156 |
|
if (Cost<Best_Cost) { |
1157 |
Best_Cost = Cost; |
Best_Cost = Cost; |
1158 |
Nodes[i].Run = Run; |
Nodes[i].Run = Run; |
1159 |
} |
} |
1160 |
const uint32_t lCost = Cost_Base + (Code_Len24[Run-1]<<16); |
|
1161 |
if (lCost<Last_Cost) |
if (lCost<Last_Cost) { |
|
{ |
|
1162 |
Last_Cost = lCost; |
Last_Cost = lCost; |
1163 |
Last.Run = Run; |
Last.Run = Run; |
1164 |
Last_Node = i; |
Last_Node = i; |
1165 |
} |
} |
1166 |
} |
} |
1167 |
if (Last_Node==i) Last.Level = Nodes[i].Level; |
if (Last_Node==i) |
1168 |
|
Last.Level = Nodes[i].Level; |
1169 |
|
|
1170 |
if (DBG==1) { |
if (DBG==1) { |
1171 |
Run_Costs[i] = Best_Cost; |
Run_Costs[i] = Best_Cost; |
1182 |
printf( "\n" ); |
printf( "\n" ); |
1183 |
} |
} |
1184 |
} |
} |
1185 |
else // "big" levels |
else /* "big" levels */ |
1186 |
{ |
{ |
1187 |
const uint8_t *Tbl_L1, *Tbl_L2, *Tbl_L1_Last, *Tbl_L2_Last; |
const uint8_t *Tbl_L1, *Tbl_L2, *Tbl_L1_Last, *Tbl_L2_Last; |
1188 |
int Level2; |
int Level2; |
1189 |
int dQ1, dQ2; |
int dQ1, dQ2; |
1190 |
int Run; |
int Run; |
1191 |
|
uint32_t Dist1,Dist2; |
1192 |
|
int dDist21; |
1193 |
|
|
1194 |
if (Level1>1) { |
if (Level1>1) { |
1195 |
dQ1 = Level1*Mult-AC + Bias; |
dQ1 = Level1*Mult-AC + Bias; |
1199 |
Tbl_L2 = (Level2<=24) ? B16_17_Code_Len[Level2-1] : Code_Len0; |
Tbl_L2 = (Level2<=24) ? B16_17_Code_Len[Level2-1] : Code_Len0; |
1200 |
Tbl_L1_Last = (Level1<=6) ? B16_17_Code_Len_Last[Level1-1] : Code_Len0; |
Tbl_L1_Last = (Level1<=6) ? B16_17_Code_Len_Last[Level1-1] : Code_Len0; |
1201 |
Tbl_L2_Last = (Level2<=6) ? B16_17_Code_Len_Last[Level2-1] : Code_Len0; |
Tbl_L2_Last = (Level2<=6) ? B16_17_Code_Len_Last[Level2-1] : Code_Len0; |
1202 |
} |
} else { /* Level1<-1 */ |
|
else { // Level1<-1 |
|
1203 |
dQ1 = Level1*Mult-AC - Bias; |
dQ1 = Level1*Mult-AC - Bias; |
1204 |
dQ2 = dQ1 + Mult; |
dQ2 = dQ1 + Mult; |
1205 |
Level2 = Level1 + 1; |
Level2 = Level1 + 1; |
1208 |
Tbl_L1_Last = (Level1>=- 6) ? B16_17_Code_Len_Last[Level1^-1] : Code_Len0; |
Tbl_L1_Last = (Level1>=- 6) ? B16_17_Code_Len_Last[Level1^-1] : Code_Len0; |
1209 |
Tbl_L2_Last = (Level2>=- 6) ? B16_17_Code_Len_Last[Level2^-1] : Code_Len0; |
Tbl_L2_Last = (Level2>=- 6) ? B16_17_Code_Len_Last[Level2^-1] : Code_Len0; |
1210 |
} |
} |
1211 |
const uint32_t Dist1 = Lambda*dQ1*dQ1; |
Dist1 = Lambda*dQ1*dQ1; |
1212 |
const uint32_t Dist2 = Lambda*dQ2*dQ2; |
Dist2 = Lambda*dQ2*dQ2; |
1213 |
const int dDist21 = Dist2-Dist1; |
dDist21 = Dist2-Dist1; |
1214 |
|
|
1215 |
for(Run=i-Run_Start; Run>0; --Run) |
for(Run=i-Run_Start; Run>0; --Run) |
1216 |
{ |
{ |
1217 |
const uint32_t Cost_Base = Dist1 + Run_Costs[i-Run]; |
const uint32_t Cost_Base = Dist1 + Run_Costs[i-Run]; |
|
|
|
|
// for sub-optimal (but slightly worth it, speed-wise) search, uncomment the following: |
|
|
// if (Cost_Base>=Best_Cost) continue; |
|
|
|
|
1218 |
uint32_t Cost1, Cost2; |
uint32_t Cost1, Cost2; |
1219 |
int bLevel; |
int bLevel; |
1220 |
|
|
1221 |
Cost1 = Cost_Base + (Tbl_L1[Run-1]<<16); |
/* |
1222 |
Cost2 = Cost_Base + (Tbl_L2[Run-1]<<16) + dDist21; |
* for sub-optimal (but slightly worth it, speed-wise) search, uncomment the following: |
1223 |
|
* if (Cost_Base>=Best_Cost) continue; |
1224 |
|
*/ |
1225 |
|
Cost1 = Cost_Base + (Tbl_L1[Run-1]<<TL_SHIFT); |
1226 |
|
Cost2 = Cost_Base + (Tbl_L2[Run-1]<<TL_SHIFT) + dDist21; |
1227 |
|
|
1228 |
if (Cost2<Cost1) { Cost1 = Cost2; bLevel = Level2; } |
if (Cost2<Cost1) { |
1229 |
else bLevel = Level1; |
Cost1 = Cost2; |
1230 |
|
bLevel = Level2; |
1231 |
|
} else |
1232 |
|
bLevel = Level1; |
1233 |
|
|
1234 |
if (Cost1<Best_Cost) |
if (Cost1<Best_Cost) { |
|
{ |
|
1235 |
Best_Cost = Cost1; |
Best_Cost = Cost1; |
1236 |
Nodes[i].Run = Run; |
Nodes[i].Run = Run; |
1237 |
Nodes[i].Level = bLevel; |
Nodes[i].Level = bLevel; |
1238 |
} |
} |
1239 |
|
|
1240 |
Cost1 = Cost_Base + (Tbl_L1_Last[Run-1]<<16); |
Cost1 = Cost_Base + (Tbl_L1_Last[Run-1]<<TL_SHIFT); |
1241 |
Cost2 = Cost_Base + (Tbl_L2_Last[Run-1]<<16) + dDist21; |
Cost2 = Cost_Base + (Tbl_L2_Last[Run-1]<<TL_SHIFT) + dDist21; |
1242 |
|
|
1243 |
if (Cost2<Cost1) { Cost1 = Cost2; bLevel = Level2; } |
if (Cost2<Cost1) { |
1244 |
else bLevel = Level1; |
Cost1 = Cost2; |
1245 |
if (Cost1<Last_Cost) |
bLevel = Level2; |
1246 |
{ |
} else |
1247 |
|
bLevel = Level1; |
1248 |
|
|
1249 |
|
if (Cost1<Last_Cost) { |
1250 |
Last_Cost = Cost1; |
Last_Cost = Cost1; |
1251 |
Last.Run = Run; |
Last.Run = Run; |
1252 |
Last.Level = bLevel; |
Last.Level = bLevel; |
1253 |
Last_Node = i; |
Last_Node = i; |
1254 |
} |
} |
1255 |
} |
} /* end of "for Run" */ |
1256 |
|
|
1257 |
if (DBG==1) { |
if (DBG==1) { |
1258 |
Run_Costs[i] = Best_Cost; |
Run_Costs[i] = Best_Cost; |
1278 |
} |
} |
1279 |
else |
else |
1280 |
{ |
{ |
1281 |
// as noticed by Michael Niedermayer (michaelni at gmx.at), there's |
/* |
1282 |
// a code shorter by 1 bit for a larger run (!), same level. We give |
* as noticed by Michael Niedermayer (michaelni at gmx.at), there's |
1283 |
// it a chance by not moving the left barrier too much. |
* a code shorter by 1 bit for a larger run (!), same level. We give |
1284 |
while( Run_Costs[Run_Start]>Min_Cost+(1<<16) ) |
* it a chance by not moving the left barrier too much. |
1285 |
|
*/ |
1286 |
|
|
1287 |
|
while( Run_Costs[Run_Start]>Min_Cost+(1<<TL_SHIFT) ) |
1288 |
Run_Start++; |
Run_Start++; |
1289 |
|
|
1290 |
// spread on preceding coeffs the cost incurred by skipping this one |
/* spread on preceding coeffs the cost incurred by skipping this one */ |
1291 |
for(j=Run_Start; j<i; ++j) Run_Costs[j] += Dist0; |
for(j=Run_Start; j<i; ++j) Run_Costs[j] += Dist0; |
1292 |
Min_Cost += Dist0; |
Min_Cost += Dist0; |
1293 |
} |
} |
1305 |
if (Last_Node<0) |
if (Last_Node<0) |
1306 |
return -1; |
return -1; |
1307 |
|
|
1308 |
// reconstruct optimal sequence backward with surviving paths |
/* reconstruct optimal sequence backward with surviving paths */ |
1309 |
bzero(Out, 64*sizeof(*Out)); |
memset(Out, 0x00, 64*sizeof(*Out)); |
1310 |
Out[Zigzag[Last_Node]] = Last.Level; |
Out[Zigzag[Last_Node]] = Last.Level; |
1311 |
i = Last_Node - Last.Run; |
i = Last_Node - Last.Run; |
1312 |
while(i>=0) { |
while(i>=0) { |
1327 |
} |
} |
1328 |
|
|
1329 |
#undef DBG |
#undef DBG |
1330 |
|
|
1331 |
|
#endif |