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vp8/reconstruct.go (13.3K)

  1 // Copyright 2011 The Go Authors. All rights reserved.
  2 // Use of this source code is governed by a BSD-style
  3 // license that can be found in the LICENSE file.
  4 
  5 package vp8
  6 
  7 // This file implements decoding DCT/WHT residual coefficients and
  8 // reconstructing YCbCr data equal to predicted values plus residuals.
  9 //
 10 // There are 1*16*16 + 2*8*8 + 1*4*4 coefficients per macroblock:
 11 //	- 1*16*16 luma DCT coefficients,
 12 //	- 2*8*8 chroma DCT coefficients, and
 13 //	- 1*4*4 luma WHT coefficients.
 14 // Coefficients are read in lots of 16, and the later coefficients in each lot
 15 // are often zero.
 16 //
 17 // The YCbCr data consists of 1*16*16 luma values and 2*8*8 chroma values,
 18 // plus previously decoded values along the top and left borders. The combined
 19 // values are laid out as a [1+16+1+8][32]uint8 so that vertically adjacent
 20 // samples are 32 bytes apart. In detail, the layout is:
 21 //
 22 //	0 1 2 3 4 5 6 7  8 9 0 1 2 3 4 5  6 7 8 9 0 1 2 3  4 5 6 7 8 9 0 1
 23 //	. . . . . . . a  b b b b b b b b  b b b b b b b b  c c c c . . . .	0
 24 //	. . . . . . . d  Y Y Y Y Y Y Y Y  Y Y Y Y Y Y Y Y  . . . . . . . .	1
 25 //	. . . . . . . d  Y Y Y Y Y Y Y Y  Y Y Y Y Y Y Y Y  . . . . . . . .	2
 26 //	. . . . . . . d  Y Y Y Y Y Y Y Y  Y Y Y Y Y Y Y Y  . . . . . . . .	3
 27 //	. . . . . . . d  Y Y Y Y Y Y Y Y  Y Y Y Y Y Y Y Y  c c c c . . . .	4
 28 //	. . . . . . . d  Y Y Y Y Y Y Y Y  Y Y Y Y Y Y Y Y  . . . . . . . .	5
 29 //	. . . . . . . d  Y Y Y Y Y Y Y Y  Y Y Y Y Y Y Y Y  . . . . . . . .	6
 30 //	. . . . . . . d  Y Y Y Y Y Y Y Y  Y Y Y Y Y Y Y Y  . . . . . . . .	7
 31 //	. . . . . . . d  Y Y Y Y Y Y Y Y  Y Y Y Y Y Y Y Y  c c c c . . . .	8
 32 //	. . . . . . . d  Y Y Y Y Y Y Y Y  Y Y Y Y Y Y Y Y  . . . . . . . .	9
 33 //	. . . . . . . d  Y Y Y Y Y Y Y Y  Y Y Y Y Y Y Y Y  . . . . . . . .	10
 34 //	. . . . . . . d  Y Y Y Y Y Y Y Y  Y Y Y Y Y Y Y Y  . . . . . . . .	11
 35 //	. . . . . . . d  Y Y Y Y Y Y Y Y  Y Y Y Y Y Y Y Y  c c c c . . . .	12
 36 //	. . . . . . . d  Y Y Y Y Y Y Y Y  Y Y Y Y Y Y Y Y  . . . . . . . .	13
 37 //	. . . . . . . d  Y Y Y Y Y Y Y Y  Y Y Y Y Y Y Y Y  . . . . . . . .	14
 38 //	. . . . . . . d  Y Y Y Y Y Y Y Y  Y Y Y Y Y Y Y Y  . . . . . . . .	15
 39 //	. . . . . . . d  Y Y Y Y Y Y Y Y  Y Y Y Y Y Y Y Y  . . . . . . . .	16
 40 //	. . . . . . . e  f f f f f f f f  . . . . . . . g  h h h h h h h h	17
 41 //	. . . . . . . i  B B B B B B B B  . . . . . . . j  R R R R R R R R	18
 42 //	. . . . . . . i  B B B B B B B B  . . . . . . . j  R R R R R R R R	19
 43 //	. . . . . . . i  B B B B B B B B  . . . . . . . j  R R R R R R R R	20
 44 //	. . . . . . . i  B B B B B B B B  . . . . . . . j  R R R R R R R R	21
 45 //	. . . . . . . i  B B B B B B B B  . . . . . . . j  R R R R R R R R	22
 46 //	. . . . . . . i  B B B B B B B B  . . . . . . . j  R R R R R R R R	23
 47 //	. . . . . . . i  B B B B B B B B  . . . . . . . j  R R R R R R R R	24
 48 //	. . . . . . . i  B B B B B B B B  . . . . . . . j  R R R R R R R R	25
 49 //
 50 // Y, B and R are the reconstructed luma (Y) and chroma (B, R) values.
 51 // The Y values are predicted (either as one 16x16 region or 16 4x4 regions)
 52 // based on the row above's Y values (some combination of {abc} or {dYC}) and
 53 // the column left's Y values (either {ad} or {bY}). Similarly, B and R values
 54 // are predicted on the row above and column left of their respective 8x8
 55 // region: {efi} for B, {ghj} for R.
 56 //
 57 // For uppermost macroblocks (i.e. those with mby == 0), the {abcefgh} values
 58 // are initialized to 0x81. Otherwise, they are copied from the bottom row of
 59 // the macroblock above. The {c} values are then duplicated from row 0 to rows
 60 // 4, 8 and 12 of the ybr workspace.
 61 // Similarly, for leftmost macroblocks (i.e. those with mbx == 0), the {adeigj}
 62 // values are initialized to 0x7f. Otherwise, they are copied from the right
 63 // column of the macroblock to the left.
 64 // For the top-left macroblock (with mby == 0 && mbx == 0), {aeg} is 0x81.
 65 //
 66 // When moving from one macroblock to the next horizontally, the {adeigj}
 67 // values can simply be copied from the workspace to itself, shifted by 8 or
 68 // 16 columns. When moving from one macroblock to the next vertically,
 69 // filtering can occur and hence the row values have to be copied from the
 70 // post-filtered image instead of the pre-filtered workspace.
 71 
 72 const (
 73 	bCoeffBase   = 1*16*16 + 0*8*8
 74 	rCoeffBase   = 1*16*16 + 1*8*8
 75 	whtCoeffBase = 1*16*16 + 2*8*8
 76 )
 77 
 78 const (
 79 	ybrYX = 8
 80 	ybrYY = 1
 81 	ybrBX = 8
 82 	ybrBY = 18
 83 	ybrRX = 24
 84 	ybrRY = 18
 85 )
 86 
 87 // prepareYBR prepares the {abcdefghij} elements of ybr.
 88 func (d *Decoder) prepareYBR(mbx, mby int) {
 89 	if mbx == 0 {
 90 		for y := 0; y < 17; y++ {
 91 			d.ybr[y][7] = 0x81
 92 		}
 93 		for y := 17; y < 26; y++ {
 94 			d.ybr[y][7] = 0x81
 95 			d.ybr[y][23] = 0x81
 96 		}
 97 	} else {
 98 		for y := 0; y < 17; y++ {
 99 			d.ybr[y][7] = d.ybr[y][7+16]
100 		}
101 		for y := 17; y < 26; y++ {
102 			d.ybr[y][7] = d.ybr[y][15]
103 			d.ybr[y][23] = d.ybr[y][31]
104 		}
105 	}
106 	if mby == 0 {
107 		for x := 7; x < 28; x++ {
108 			d.ybr[0][x] = 0x7f
109 		}
110 		for x := 7; x < 16; x++ {
111 			d.ybr[17][x] = 0x7f
112 		}
113 		for x := 23; x < 32; x++ {
114 			d.ybr[17][x] = 0x7f
115 		}
116 	} else {
117 		for i := 0; i < 16; i++ {
118 			d.ybr[0][8+i] = d.img.Y[(16*mby-1)*d.img.YStride+16*mbx+i]
119 		}
120 		for i := 0; i < 8; i++ {
121 			d.ybr[17][8+i] = d.img.Cb[(8*mby-1)*d.img.CStride+8*mbx+i]
122 		}
123 		for i := 0; i < 8; i++ {
124 			d.ybr[17][24+i] = d.img.Cr[(8*mby-1)*d.img.CStride+8*mbx+i]
125 		}
126 		if mbx == d.mbw-1 {
127 			for i := 16; i < 20; i++ {
128 				d.ybr[0][8+i] = d.img.Y[(16*mby-1)*d.img.YStride+16*mbx+15]
129 			}
130 		} else {
131 			for i := 16; i < 20; i++ {
132 				d.ybr[0][8+i] = d.img.Y[(16*mby-1)*d.img.YStride+16*mbx+i]
133 			}
134 		}
135 	}
136 	for y := 4; y < 16; y += 4 {
137 		d.ybr[y][24] = d.ybr[0][24]
138 		d.ybr[y][25] = d.ybr[0][25]
139 		d.ybr[y][26] = d.ybr[0][26]
140 		d.ybr[y][27] = d.ybr[0][27]
141 	}
142 }
143 
144 // btou converts a bool to a 0/1 value.
145 func btou(b bool) uint8 {
146 	if b {
147 		return 1
148 	}
149 	return 0
150 }
151 
152 // pack packs four 0/1 values into four bits of a uint32.
153 func pack(x [4]uint8, shift int) uint32 {
154 	u := uint32(x[0])<<0 | uint32(x[1])<<1 | uint32(x[2])<<2 | uint32(x[3])<<3
155 	return u << uint(shift)
156 }
157 
158 // unpack unpacks four 0/1 values from a four-bit value.
159 var unpack = [16][4]uint8{
160 	{0, 0, 0, 0},
161 	{1, 0, 0, 0},
162 	{0, 1, 0, 0},
163 	{1, 1, 0, 0},
164 	{0, 0, 1, 0},
165 	{1, 0, 1, 0},
166 	{0, 1, 1, 0},
167 	{1, 1, 1, 0},
168 	{0, 0, 0, 1},
169 	{1, 0, 0, 1},
170 	{0, 1, 0, 1},
171 	{1, 1, 0, 1},
172 	{0, 0, 1, 1},
173 	{1, 0, 1, 1},
174 	{0, 1, 1, 1},
175 	{1, 1, 1, 1},
176 }
177 
178 var (
179 	// The mapping from 4x4 region position to band is specified in section 13.3.
180 	bands = [17]uint8{0, 1, 2, 3, 6, 4, 5, 6, 6, 6, 6, 6, 6, 6, 6, 7, 0}
181 	// Category probabilities are specified in section 13.2.
182 	// Decoding categories 1 and 2 are done inline.
183 	cat3456 = [4][12]uint8{
184 		{173, 148, 140, 0, 0, 0, 0, 0, 0, 0, 0, 0},
185 		{176, 155, 140, 135, 0, 0, 0, 0, 0, 0, 0, 0},
186 		{180, 157, 141, 134, 130, 0, 0, 0, 0, 0, 0, 0},
187 		{254, 254, 243, 230, 196, 177, 153, 140, 133, 130, 129, 0},
188 	}
189 	// The zigzag order is:
190 	//	0  1  5  6
191 	//	2  4  7 12
192 	//	3  8 11 13
193 	//	9 10 14 15
194 	zigzag = [16]uint8{0, 1, 4, 8, 5, 2, 3, 6, 9, 12, 13, 10, 7, 11, 14, 15}
195 )
196 
197 // parseResiduals4 parses a 4x4 region of residual coefficients, as specified
198 // in section 13.3, and returns a 0/1 value indicating whether there was at
199 // least one non-zero coefficient.
200 // r is the partition to read bits from.
201 // plane and context describe which token probability table to use. context is
202 // either 0, 1 or 2, and equals how many of the macroblock left and macroblock
203 // above have non-zero coefficients.
204 // quant are the DC/AC quantization factors.
205 // skipFirstCoeff is whether the DC coefficient has already been parsed.
206 // coeffBase is the base index of d.coeff to write to.
207 func (d *Decoder) parseResiduals4(r *partition, plane int, context uint8, quant [2]uint16, skipFirstCoeff bool, coeffBase int) uint8 {
208 	prob, n := &d.tokenProb[plane], 0
209 	if skipFirstCoeff {
210 		n = 1
211 	}
212 	p := prob[bands[n]][context]
213 	if !r.readBit(p[0]) {
214 		return 0
215 	}
216 	for n != 16 {
217 		n++
218 		if !r.readBit(p[1]) {
219 			p = prob[bands[n]][0]
220 			continue
221 		}
222 		var v uint32
223 		if !r.readBit(p[2]) {
224 			v = 1
225 			p = prob[bands[n]][1]
226 		} else {
227 			if !r.readBit(p[3]) {
228 				if !r.readBit(p[4]) {
229 					v = 2
230 				} else {
231 					v = 3 + r.readUint(p[5], 1)
232 				}
233 			} else if !r.readBit(p[6]) {
234 				if !r.readBit(p[7]) {
235 					// Category 1.
236 					v = 5 + r.readUint(159, 1)
237 				} else {
238 					// Category 2.
239 					v = 7 + 2*r.readUint(165, 1) + r.readUint(145, 1)
240 				}
241 			} else {
242 				// Categories 3, 4, 5 or 6.
243 				b1 := r.readUint(p[8], 1)
244 				b0 := r.readUint(p[9+b1], 1)
245 				cat := 2*b1 + b0
246 				tab := &cat3456[cat]
247 				v = 0
248 				for i := 0; tab[i] != 0; i++ {
249 					v *= 2
250 					v += r.readUint(tab[i], 1)
251 				}
252 				v += 3 + (8 << cat)
253 			}
254 			p = prob[bands[n]][2]
255 		}
256 		z := zigzag[n-1]
257 		c := int32(v) * int32(quant[btou(z > 0)])
258 		if r.readBit(uniformProb) {
259 			c = -c
260 		}
261 		d.coeff[coeffBase+int(z)] = int16(c)
262 		if n == 16 || !r.readBit(p[0]) {
263 			return 1
264 		}
265 	}
266 	return 1
267 }
268 
269 // parseResiduals parses the residuals and returns whether inner loop filtering
270 // should be skipped for this macroblock.
271 func (d *Decoder) parseResiduals(mbx, mby int) (skip bool) {
272 	partition := &d.op[mby&(d.nOP-1)]
273 	plane := planeY1SansY2
274 	quant := &d.quant[d.segment]
275 
276 	// Parse the DC coefficient of each 4x4 luma region.
277 	if d.usePredY16 {
278 		nz := d.parseResiduals4(partition, planeY2, d.leftMB.nzY16+d.upMB[mbx].nzY16, quant.y2, false, whtCoeffBase)
279 		d.leftMB.nzY16 = nz
280 		d.upMB[mbx].nzY16 = nz
281 		d.inverseWHT16()
282 		plane = planeY1WithY2
283 	}
284 
285 	var (
286 		nzDC, nzAC         [4]uint8
287 		nzDCMask, nzACMask uint32
288 		coeffBase          int
289 	)
290 
291 	// Parse the luma coefficients.
292 	lnz := unpack[d.leftMB.nzMask&0x0f]
293 	unz := unpack[d.upMB[mbx].nzMask&0x0f]
294 	for y := 0; y < 4; y++ {
295 		nz := lnz[y]
296 		for x := 0; x < 4; x++ {
297 			nz = d.parseResiduals4(partition, plane, nz+unz[x], quant.y1, d.usePredY16, coeffBase)
298 			unz[x] = nz
299 			nzAC[x] = nz
300 			nzDC[x] = btou(d.coeff[coeffBase] != 0)
301 			coeffBase += 16
302 		}
303 		lnz[y] = nz
304 		nzDCMask |= pack(nzDC, y*4)
305 		nzACMask |= pack(nzAC, y*4)
306 	}
307 	lnzMask := pack(lnz, 0)
308 	unzMask := pack(unz, 0)
309 
310 	// Parse the chroma coefficients.
311 	lnz = unpack[d.leftMB.nzMask>>4]
312 	unz = unpack[d.upMB[mbx].nzMask>>4]
313 	for c := 0; c < 4; c += 2 {
314 		for y := 0; y < 2; y++ {
315 			nz := lnz[y+c]
316 			for x := 0; x < 2; x++ {
317 				nz = d.parseResiduals4(partition, planeUV, nz+unz[x+c], quant.uv, false, coeffBase)
318 				unz[x+c] = nz
319 				nzAC[y*2+x] = nz
320 				nzDC[y*2+x] = btou(d.coeff[coeffBase] != 0)
321 				coeffBase += 16
322 			}
323 			lnz[y+c] = nz
324 		}
325 		nzDCMask |= pack(nzDC, 16+c*2)
326 		nzACMask |= pack(nzAC, 16+c*2)
327 	}
328 	lnzMask |= pack(lnz, 4)
329 	unzMask |= pack(unz, 4)
330 
331 	// Save decoder state.
332 	d.leftMB.nzMask = uint8(lnzMask)
333 	d.upMB[mbx].nzMask = uint8(unzMask)
334 	d.nzDCMask = nzDCMask
335 	d.nzACMask = nzACMask
336 
337 	// Section 15.1 of the spec says that "Steps 2 and 4 [of the loop filter]
338 	// are skipped... [if] there is no DCT coefficient coded for the whole
339 	// macroblock."
340 	return nzDCMask == 0 && nzACMask == 0
341 }
342 
343 // reconstructMacroblock applies the predictor functions and adds the inverse-
344 // DCT transformed residuals to recover the YCbCr data.
345 func (d *Decoder) reconstructMacroblock(mbx, mby int) {
346 	if d.usePredY16 {
347 		p := checkTopLeftPred(mbx, mby, d.predY16)
348 		predFunc16[p](d, 1, 8)
349 		for j := 0; j < 4; j++ {
350 			for i := 0; i < 4; i++ {
351 				n := 4*j + i
352 				y := 4*j + 1
353 				x := 4*i + 8
354 				mask := uint32(1) << uint(n)
355 				if d.nzACMask&mask != 0 {
356 					d.inverseDCT4(y, x, 16*n)
357 				} else if d.nzDCMask&mask != 0 {
358 					d.inverseDCT4DCOnly(y, x, 16*n)
359 				}
360 			}
361 		}
362 	} else {
363 		for j := 0; j < 4; j++ {
364 			for i := 0; i < 4; i++ {
365 				n := 4*j + i
366 				y := 4*j + 1
367 				x := 4*i + 8
368 				predFunc4[d.predY4[j][i]](d, y, x)
369 				mask := uint32(1) << uint(n)
370 				if d.nzACMask&mask != 0 {
371 					d.inverseDCT4(y, x, 16*n)
372 				} else if d.nzDCMask&mask != 0 {
373 					d.inverseDCT4DCOnly(y, x, 16*n)
374 				}
375 			}
376 		}
377 	}
378 	p := checkTopLeftPred(mbx, mby, d.predC8)
379 	predFunc8[p](d, ybrBY, ybrBX)
380 	if d.nzACMask&0x0f0000 != 0 {
381 		d.inverseDCT8(ybrBY, ybrBX, bCoeffBase)
382 	} else if d.nzDCMask&0x0f0000 != 0 {
383 		d.inverseDCT8DCOnly(ybrBY, ybrBX, bCoeffBase)
384 	}
385 	predFunc8[p](d, ybrRY, ybrRX)
386 	if d.nzACMask&0xf00000 != 0 {
387 		d.inverseDCT8(ybrRY, ybrRX, rCoeffBase)
388 	} else if d.nzDCMask&0xf00000 != 0 {
389 		d.inverseDCT8DCOnly(ybrRY, ybrRX, rCoeffBase)
390 	}
391 }
392 
393 // reconstruct reconstructs one macroblock and returns whether inner loop
394 // filtering should be skipped for it.
395 func (d *Decoder) reconstruct(mbx, mby int) (skip bool) {
396 	if d.segmentHeader.updateMap {
397 		if !d.fp.readBit(d.segmentHeader.prob[0]) {
398 			d.segment = int(d.fp.readUint(d.segmentHeader.prob[1], 1))
399 		} else {
400 			d.segment = int(d.fp.readUint(d.segmentHeader.prob[2], 1)) + 2
401 		}
402 	}
403 	if d.useSkipProb {
404 		skip = d.fp.readBit(d.skipProb)
405 	}
406 	// Prepare the workspace.
407 	for i := range d.coeff {
408 		d.coeff[i] = 0
409 	}
410 	d.prepareYBR(mbx, mby)
411 	// Parse the predictor modes.
412 	d.usePredY16 = d.fp.readBit(145)
413 	if d.usePredY16 {
414 		d.parsePredModeY16(mbx)
415 	} else {
416 		d.parsePredModeY4(mbx)
417 	}
418 	d.parsePredModeC8()
419 	// Parse the residuals.
420 	if !skip {
421 		skip = d.parseResiduals(mbx, mby)
422 	} else {
423 		if d.usePredY16 {
424 			d.leftMB.nzY16 = 0
425 			d.upMB[mbx].nzY16 = 0
426 		}
427 		d.leftMB.nzMask = 0
428 		d.upMB[mbx].nzMask = 0
429 		d.nzDCMask = 0
430 		d.nzACMask = 0
431 	}
432 	// Reconstruct the YCbCr data and copy it to the image.
433 	d.reconstructMacroblock(mbx, mby)
434 	for i, y := (mby*d.img.YStride+mbx)*16, 0; y < 16; i, y = i+d.img.YStride, y+1 {
435 		copy(d.img.Y[i:i+16], d.ybr[ybrYY+y][ybrYX:ybrYX+16])
436 	}
437 	for i, y := (mby*d.img.CStride+mbx)*8, 0; y < 8; i, y = i+d.img.CStride, y+1 {
438 		copy(d.img.Cb[i:i+8], d.ybr[ybrBY+y][ybrBX:ybrBX+8])
439 		copy(d.img.Cr[i:i+8], d.ybr[ybrRY+y][ybrRX:ybrRX+8])
440 	}
441 	return skip
442 }