1 // Copyright 2011 Google Inc. All Rights Reserved.
2 //
3 // Use of this source code is governed by a BSD-style license
4 // that can be found in the COPYING file in the root of the source
5 // tree. An additional intellectual property rights grant can be found
6 // in the file PATENTS. All contributing project authors may
7 // be found in the AUTHORS file in the root of the source tree.
8 // -----------------------------------------------------------------------------
9 //
10 // Spatial prediction using various filters
11 //
12 // Author: Urvang (urvang@google.com)
13
14 #include "./dsp.h"
15 #include <assert.h>
16 #include <stdlib.h>
17 #include <string.h>
18
19 //------------------------------------------------------------------------------
20 // Helpful macro.
21
22 # define SANITY_CHECK(in, out) \
23 assert(in != NULL); \
24 assert(out != NULL); \
25 assert(width > 0); \
26 assert(height > 0); \
27 assert(stride >= width); \
28 assert(row >= 0 && num_rows > 0 && row + num_rows <= height); \
29 (void)height; // Silence unused warning.
30
PredictLine(const uint8_t * src,const uint8_t * pred,uint8_t * dst,int length,int inverse)31 static WEBP_INLINE void PredictLine(const uint8_t* src, const uint8_t* pred,
32 uint8_t* dst, int length, int inverse) {
33 int i;
34 if (inverse) {
35 for (i = 0; i < length; ++i) dst[i] = src[i] + pred[i];
36 } else {
37 for (i = 0; i < length; ++i) dst[i] = src[i] - pred[i];
38 }
39 }
40
41 //------------------------------------------------------------------------------
42 // Horizontal filter.
43
DoHorizontalFilter(const uint8_t * in,int width,int height,int stride,int row,int num_rows,int inverse,uint8_t * out)44 static WEBP_INLINE void DoHorizontalFilter(const uint8_t* in,
45 int width, int height, int stride,
46 int row, int num_rows,
47 int inverse, uint8_t* out) {
48 const uint8_t* preds;
49 const size_t start_offset = row * stride;
50 const int last_row = row + num_rows;
51 SANITY_CHECK(in, out);
52 in += start_offset;
53 out += start_offset;
54 preds = inverse ? out : in;
55
56 if (row == 0) {
57 // Leftmost pixel is the same as input for topmost scanline.
58 out[0] = in[0];
59 PredictLine(in + 1, preds, out + 1, width - 1, inverse);
60 row = 1;
61 preds += stride;
62 in += stride;
63 out += stride;
64 }
65
66 // Filter line-by-line.
67 while (row < last_row) {
68 // Leftmost pixel is predicted from above.
69 PredictLine(in, preds - stride, out, 1, inverse);
70 PredictLine(in + 1, preds, out + 1, width - 1, inverse);
71 ++row;
72 preds += stride;
73 in += stride;
74 out += stride;
75 }
76 }
77
78 //------------------------------------------------------------------------------
79 // Vertical filter.
80
DoVerticalFilter(const uint8_t * in,int width,int height,int stride,int row,int num_rows,int inverse,uint8_t * out)81 static WEBP_INLINE void DoVerticalFilter(const uint8_t* in,
82 int width, int height, int stride,
83 int row, int num_rows,
84 int inverse, uint8_t* out) {
85 const uint8_t* preds;
86 const size_t start_offset = row * stride;
87 const int last_row = row + num_rows;
88 SANITY_CHECK(in, out);
89 in += start_offset;
90 out += start_offset;
91 preds = inverse ? out : in;
92
93 if (row == 0) {
94 // Very first top-left pixel is copied.
95 out[0] = in[0];
96 // Rest of top scan-line is left-predicted.
97 PredictLine(in + 1, preds, out + 1, width - 1, inverse);
98 row = 1;
99 in += stride;
100 out += stride;
101 } else {
102 // We are starting from in-between. Make sure 'preds' points to prev row.
103 preds -= stride;
104 }
105
106 // Filter line-by-line.
107 while (row < last_row) {
108 PredictLine(in, preds, out, width, inverse);
109 ++row;
110 preds += stride;
111 in += stride;
112 out += stride;
113 }
114 }
115
116 //------------------------------------------------------------------------------
117 // Gradient filter.
118
GradientPredictor(uint8_t a,uint8_t b,uint8_t c)119 static WEBP_INLINE int GradientPredictor(uint8_t a, uint8_t b, uint8_t c) {
120 const int g = a + b - c;
121 return ((g & ~0xff) == 0) ? g : (g < 0) ? 0 : 255; // clip to 8bit
122 }
123
DoGradientFilter(const uint8_t * in,int width,int height,int stride,int row,int num_rows,int inverse,uint8_t * out)124 static WEBP_INLINE void DoGradientFilter(const uint8_t* in,
125 int width, int height, int stride,
126 int row, int num_rows,
127 int inverse, uint8_t* out) {
128 const uint8_t* preds;
129 const size_t start_offset = row * stride;
130 const int last_row = row + num_rows;
131 SANITY_CHECK(in, out);
132 in += start_offset;
133 out += start_offset;
134 preds = inverse ? out : in;
135
136 // left prediction for top scan-line
137 if (row == 0) {
138 out[0] = in[0];
139 PredictLine(in + 1, preds, out + 1, width - 1, inverse);
140 row = 1;
141 preds += stride;
142 in += stride;
143 out += stride;
144 }
145
146 // Filter line-by-line.
147 while (row < last_row) {
148 int w;
149 // leftmost pixel: predict from above.
150 PredictLine(in, preds - stride, out, 1, inverse);
151 for (w = 1; w < width; ++w) {
152 const int pred = GradientPredictor(preds[w - 1],
153 preds[w - stride],
154 preds[w - stride - 1]);
155 out[w] = in[w] + (inverse ? pred : -pred);
156 }
157 ++row;
158 preds += stride;
159 in += stride;
160 out += stride;
161 }
162 }
163
164 #undef SANITY_CHECK
165
166 //------------------------------------------------------------------------------
167
HorizontalFilter(const uint8_t * data,int width,int height,int stride,uint8_t * filtered_data)168 static void HorizontalFilter(const uint8_t* data, int width, int height,
169 int stride, uint8_t* filtered_data) {
170 DoHorizontalFilter(data, width, height, stride, 0, height, 0, filtered_data);
171 }
172
VerticalFilter(const uint8_t * data,int width,int height,int stride,uint8_t * filtered_data)173 static void VerticalFilter(const uint8_t* data, int width, int height,
174 int stride, uint8_t* filtered_data) {
175 DoVerticalFilter(data, width, height, stride, 0, height, 0, filtered_data);
176 }
177
178
GradientFilter(const uint8_t * data,int width,int height,int stride,uint8_t * filtered_data)179 static void GradientFilter(const uint8_t* data, int width, int height,
180 int stride, uint8_t* filtered_data) {
181 DoGradientFilter(data, width, height, stride, 0, height, 0, filtered_data);
182 }
183
184
185 //------------------------------------------------------------------------------
186
HorizontalUnfilter(const uint8_t * prev,const uint8_t * in,uint8_t * out,int width)187 static void HorizontalUnfilter(const uint8_t* prev, const uint8_t* in,
188 uint8_t* out, int width) {
189 uint8_t pred = (prev == NULL) ? 0 : prev[0];
190 int i;
191 for (i = 0; i < width; ++i) {
192 out[i] = pred + in[i];
193 pred = out[i];
194 }
195 }
196
VerticalUnfilter(const uint8_t * prev,const uint8_t * in,uint8_t * out,int width)197 static void VerticalUnfilter(const uint8_t* prev, const uint8_t* in,
198 uint8_t* out, int width) {
199 if (prev == NULL) {
200 HorizontalUnfilter(NULL, in, out, width);
201 } else {
202 int i;
203 for (i = 0; i < width; ++i) out[i] = prev[i] + in[i];
204 }
205 }
206
GradientUnfilter(const uint8_t * prev,const uint8_t * in,uint8_t * out,int width)207 static void GradientUnfilter(const uint8_t* prev, const uint8_t* in,
208 uint8_t* out, int width) {
209 if (prev == NULL) {
210 HorizontalUnfilter(NULL, in, out, width);
211 } else {
212 uint8_t top = prev[0], top_left = top, left = top;
213 int i;
214 for (i = 0; i < width; ++i) {
215 top = prev[i]; // need to read this first, in case prev==out
216 left = in[i] + GradientPredictor(left, top, top_left);
217 top_left = top;
218 out[i] = left;
219 }
220 }
221 }
222
223 //------------------------------------------------------------------------------
224 // Init function
225
226 WebPFilterFunc WebPFilters[WEBP_FILTER_LAST];
227 WebPUnfilterFunc WebPUnfilters[WEBP_FILTER_LAST];
228
229 extern void VP8FiltersInitMIPSdspR2(void);
230 extern void VP8FiltersInitMSA(void);
231 extern void VP8FiltersInitNEON(void);
232 extern void VP8FiltersInitSSE2(void);
233
234 static volatile VP8CPUInfo filters_last_cpuinfo_used =
235 (VP8CPUInfo)&filters_last_cpuinfo_used;
236
VP8FiltersInit(void)237 WEBP_TSAN_IGNORE_FUNCTION void VP8FiltersInit(void) {
238 if (filters_last_cpuinfo_used == VP8GetCPUInfo) return;
239
240 WebPUnfilters[WEBP_FILTER_NONE] = NULL;
241 WebPUnfilters[WEBP_FILTER_HORIZONTAL] = HorizontalUnfilter;
242 WebPUnfilters[WEBP_FILTER_VERTICAL] = VerticalUnfilter;
243 WebPUnfilters[WEBP_FILTER_GRADIENT] = GradientUnfilter;
244
245 WebPFilters[WEBP_FILTER_NONE] = NULL;
246 WebPFilters[WEBP_FILTER_HORIZONTAL] = HorizontalFilter;
247 WebPFilters[WEBP_FILTER_VERTICAL] = VerticalFilter;
248 WebPFilters[WEBP_FILTER_GRADIENT] = GradientFilter;
249
250 if (VP8GetCPUInfo != NULL) {
251 #if defined(WEBP_USE_SSE2)
252 if (VP8GetCPUInfo(kSSE2)) {
253 VP8FiltersInitSSE2();
254 }
255 #endif
256 #if defined(WEBP_USE_NEON)
257 if (VP8GetCPUInfo(kNEON)) {
258 VP8FiltersInitNEON();
259 }
260 #endif
261 #if defined(WEBP_USE_MIPS_DSP_R2)
262 if (VP8GetCPUInfo(kMIPSdspR2)) {
263 VP8FiltersInitMIPSdspR2();
264 }
265 #endif
266 #if defined(WEBP_USE_MSA)
267 if (VP8GetCPUInfo(kMSA)) {
268 VP8FiltersInitMSA();
269 }
270 #endif
271 }
272 filters_last_cpuinfo_used = VP8GetCPUInfo;
273 }
274