summaryrefslogtreecommitdiffstats
path: root/libvpx/vp8/encoder/denoising.c
blob: 7819265471e18ddab2f4ea07009574e94a42b7c3 (plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
/*
 *  Copyright (c) 2012 The WebM project authors. All Rights Reserved.
 *
 *  Use of this source code is governed by a BSD-style license
 *  that can be found in the LICENSE file in the root of the source
 *  tree. An additional intellectual property rights grant can be found
 *  in the file PATENTS.  All contributing project authors may
 *  be found in the AUTHORS file in the root of the source tree.
 */

#include "denoising.h"

#include "vp8/common/reconinter.h"
#include "vpx/vpx_integer.h"
#include "vpx_mem/vpx_mem.h"
#include "vp8_rtcd.h"

static const unsigned int NOISE_MOTION_THRESHOLD = 25 * 25;
/* SSE_DIFF_THRESHOLD is selected as ~95% confidence assuming
 * var(noise) ~= 100.
 */
static const unsigned int SSE_DIFF_THRESHOLD = 16 * 16 * 20;
static const unsigned int SSE_THRESHOLD = 16 * 16 * 40;

/*
 * The filter function was modified to reduce the computational complexity.
 * Step 1:
 * Instead of applying tap coefficients for each pixel, we calculated the
 * pixel adjustments vs. pixel diff value ahead of time.
 *     adjustment = filtered_value - current_raw
 *                = (filter_coefficient * diff + 128) >> 8
 * where
 *     filter_coefficient = (255 << 8) / (256 + ((absdiff * 330) >> 3));
 *     filter_coefficient += filter_coefficient /
 *                           (3 + motion_magnitude_adjustment);
 *     filter_coefficient is clamped to 0 ~ 255.
 *
 * Step 2:
 * The adjustment vs. diff curve becomes flat very quick when diff increases.
 * This allowed us to use only several levels to approximate the curve without
 * changing the filtering algorithm too much.
 * The adjustments were further corrected by checking the motion magnitude.
 * The levels used are:
 * diff       adjustment w/o motion correction   adjustment w/ motion correction
 * [-255, -16]           -6                                   -7
 * [-15, -8]             -4                                   -5
 * [-7, -4]              -3                                   -4
 * [-3, 3]               diff                                 diff
 * [4, 7]                 3                                    4
 * [8, 15]                4                                    5
 * [16, 255]              6                                    7
 */

int vp8_denoiser_filter_c(YV12_BUFFER_CONFIG *mc_running_avg,
                          YV12_BUFFER_CONFIG *running_avg, MACROBLOCK *signal,
                          unsigned int motion_magnitude, int y_offset,
                          int uv_offset)
{
    unsigned char *sig = signal->thismb;
    int sig_stride = 16;
    unsigned char *mc_running_avg_y = mc_running_avg->y_buffer + y_offset;
    int mc_avg_y_stride = mc_running_avg->y_stride;
    unsigned char *running_avg_y = running_avg->y_buffer + y_offset;
    int avg_y_stride = running_avg->y_stride;
    int r, c, i;
    int sum_diff = 0;
    int adj_val[3] = {3, 4, 6};

    /* If motion_magnitude is small, making the denoiser more aggressive by
     * increasing the adjustment for each level. */
    if (motion_magnitude <= MOTION_MAGNITUDE_THRESHOLD)
    {
        for (i = 0; i < 3; i++)
            adj_val[i] += 1;
    }

    for (r = 0; r < 16; ++r)
    {
        for (c = 0; c < 16; ++c)
        {
            int diff = 0;
            int adjustment = 0;
            int absdiff = 0;

            diff = mc_running_avg_y[c] - sig[c];
            absdiff = abs(diff);

            /* When |diff| < 4, use pixel value from last denoised raw. */
            if (absdiff <= 3)
            {
                running_avg_y[c] = mc_running_avg_y[c];
                sum_diff += diff;
            }
            else
            {
                if (absdiff >= 4 && absdiff <= 7)
                    adjustment = adj_val[0];
                else if (absdiff >= 8 && absdiff <= 15)
                    adjustment = adj_val[1];
                else
                    adjustment = adj_val[2];

                if (diff > 0)
                {
                    if ((sig[c] + adjustment) > 255)
                        running_avg_y[c] = 255;
                    else
                        running_avg_y[c] = sig[c] + adjustment;

                    sum_diff += adjustment;
                }
                else
                {
                    if ((sig[c] - adjustment) < 0)
                        running_avg_y[c] = 0;
                    else
                        running_avg_y[c] = sig[c] - adjustment;

                    sum_diff -= adjustment;
                }
            }
        }

        /* Update pointers for next iteration. */
        sig += sig_stride;
        mc_running_avg_y += mc_avg_y_stride;
        running_avg_y += avg_y_stride;
    }

    if (abs(sum_diff) > SUM_DIFF_THRESHOLD)
        return COPY_BLOCK;

    vp8_copy_mem16x16(running_avg->y_buffer + y_offset, avg_y_stride,
                      signal->thismb, sig_stride);
    return FILTER_BLOCK;
}

int vp8_denoiser_allocate(VP8_DENOISER *denoiser, int width, int height)
{
    int i;
    assert(denoiser);

    for (i = 0; i < MAX_REF_FRAMES; i++)
    {
        denoiser->yv12_running_avg[i].flags = 0;

        if (vp8_yv12_alloc_frame_buffer(&(denoiser->yv12_running_avg[i]), width,
                                        height, VP8BORDERINPIXELS)
            < 0)
        {
            vp8_denoiser_free(denoiser);
            return 1;
        }
        vpx_memset(denoiser->yv12_running_avg[i].buffer_alloc, 0,
                   denoiser->yv12_running_avg[i].frame_size);

    }
    denoiser->yv12_mc_running_avg.flags = 0;

    if (vp8_yv12_alloc_frame_buffer(&(denoiser->yv12_mc_running_avg), width,
                                   height, VP8BORDERINPIXELS) < 0)
    {
        vp8_denoiser_free(denoiser);
        return 1;
    }

    vpx_memset(denoiser->yv12_mc_running_avg.buffer_alloc, 0,
               denoiser->yv12_mc_running_avg.frame_size);
    return 0;
}

void vp8_denoiser_free(VP8_DENOISER *denoiser)
{
    int i;
    assert(denoiser);

    for (i = 0; i < MAX_REF_FRAMES ; i++)
    {
        vp8_yv12_de_alloc_frame_buffer(&denoiser->yv12_running_avg[i]);
    }
    vp8_yv12_de_alloc_frame_buffer(&denoiser->yv12_mc_running_avg);
}


void vp8_denoiser_denoise_mb(VP8_DENOISER *denoiser,
                             MACROBLOCK *x,
                             unsigned int best_sse,
                             unsigned int zero_mv_sse,
                             int recon_yoffset,
                             int recon_uvoffset)
{
    int mv_row;
    int mv_col;
    unsigned int motion_magnitude2;

    MV_REFERENCE_FRAME frame = x->best_reference_frame;
    MV_REFERENCE_FRAME zero_frame = x->best_zeromv_reference_frame;

    enum vp8_denoiser_decision decision = FILTER_BLOCK;

    if (zero_frame)
    {
        YV12_BUFFER_CONFIG *src = &denoiser->yv12_running_avg[frame];
        YV12_BUFFER_CONFIG *dst = &denoiser->yv12_mc_running_avg;
        YV12_BUFFER_CONFIG saved_pre,saved_dst;
        MB_MODE_INFO saved_mbmi;
        MACROBLOCKD *filter_xd = &x->e_mbd;
        MB_MODE_INFO *mbmi = &filter_xd->mode_info_context->mbmi;
        int sse_diff = zero_mv_sse - best_sse;

        saved_mbmi = *mbmi;

        /* Use the best MV for the compensation. */
        mbmi->ref_frame = x->best_reference_frame;
        mbmi->mode = x->best_sse_inter_mode;
        mbmi->mv = x->best_sse_mv;
        mbmi->need_to_clamp_mvs = x->need_to_clamp_best_mvs;
        mv_col = x->best_sse_mv.as_mv.col;
        mv_row = x->best_sse_mv.as_mv.row;

        if (frame == INTRA_FRAME ||
            ((unsigned int)(mv_row *mv_row + mv_col *mv_col)
              <= NOISE_MOTION_THRESHOLD &&
             sse_diff < (int)SSE_DIFF_THRESHOLD))
        {
            /*
             * Handle intra blocks as referring to last frame with zero motion
             * and let the absolute pixel difference affect the filter factor.
             * Also consider small amount of motion as being random walk due
             * to noise, if it doesn't mean that we get a much bigger error.
             * Note that any changes to the mode info only affects the
             * denoising.
             */
            mbmi->ref_frame =
                    x->best_zeromv_reference_frame;

            src = &denoiser->yv12_running_avg[zero_frame];

            mbmi->mode = ZEROMV;
            mbmi->mv.as_int = 0;
            x->best_sse_inter_mode = ZEROMV;
            x->best_sse_mv.as_int = 0;
            best_sse = zero_mv_sse;
        }

        saved_pre = filter_xd->pre;
        saved_dst = filter_xd->dst;

        /* Compensate the running average. */
        filter_xd->pre.y_buffer = src->y_buffer + recon_yoffset;
        filter_xd->pre.u_buffer = src->u_buffer + recon_uvoffset;
        filter_xd->pre.v_buffer = src->v_buffer + recon_uvoffset;
        /* Write the compensated running average to the destination buffer. */
        filter_xd->dst.y_buffer = dst->y_buffer + recon_yoffset;
        filter_xd->dst.u_buffer = dst->u_buffer + recon_uvoffset;
        filter_xd->dst.v_buffer = dst->v_buffer + recon_uvoffset;

        if (!x->skip)
        {
            vp8_build_inter_predictors_mb(filter_xd);
        }
        else
        {
            vp8_build_inter16x16_predictors_mb(filter_xd,
                                               filter_xd->dst.y_buffer,
                                               filter_xd->dst.u_buffer,
                                               filter_xd->dst.v_buffer,
                                               filter_xd->dst.y_stride,
                                               filter_xd->dst.uv_stride);
        }
        filter_xd->pre = saved_pre;
        filter_xd->dst = saved_dst;
        *mbmi = saved_mbmi;

    }

    mv_row = x->best_sse_mv.as_mv.row;
    mv_col = x->best_sse_mv.as_mv.col;
    motion_magnitude2 = mv_row * mv_row + mv_col * mv_col;
    if (best_sse > SSE_THRESHOLD || motion_magnitude2
           > 8 * NOISE_MOTION_THRESHOLD)
    {
        decision = COPY_BLOCK;
    }

    if (decision == FILTER_BLOCK)
    {
        /* Filter. */
        decision = vp8_denoiser_filter(&denoiser->yv12_mc_running_avg,
                                       &denoiser->yv12_running_avg[INTRA_FRAME],
                                       x,
                                       motion_magnitude2,
                                       recon_yoffset, recon_uvoffset);
    }
    if (decision == COPY_BLOCK)
    {
        /* No filtering of this block; it differs too much from the predictor,
         * or the motion vector magnitude is considered too big.
         */
        vp8_copy_mem16x16(
                x->thismb, 16,
                denoiser->yv12_running_avg[INTRA_FRAME].y_buffer + recon_yoffset,
                denoiser->yv12_running_avg[INTRA_FRAME].y_stride);
    }
}