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quant_levels_dec_utils.c (9072B)


      1 // Copyright 2013 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 // Implement gradient smoothing: we replace a current alpha value by its
     11 // surrounding average if it's close enough (that is: the change will be less
     12 // than the minimum distance between two quantized level).
     13 // We use sliding window for computing the 2d moving average.
     14 //
     15 // Author: Skal (pascal.massimino@gmail.com)
     16 
     17 #include "src/utils/quant_levels_dec_utils.h"
     18 
     19 #include <string.h>   // for memset
     20 
     21 #include "src/utils/utils.h"
     22 #include "src/webp/types.h"
     23 
     24 // #define USE_DITHERING   // uncomment to enable ordered dithering (not vital)
     25 
     26 #define FIX 16     // fix-point precision for averaging
     27 #define LFIX 2     // extra precision for look-up table
     28 #define LUT_SIZE ((1 << (8 + LFIX)) - 1)  // look-up table size
     29 
     30 #if defined(USE_DITHERING)
     31 
     32 #define DFIX 4           // extra precision for ordered dithering
     33 #define DSIZE 4          // dithering size (must be a power of two)
     34 // cf. https://en.wikipedia.org/wiki/Ordered_dithering
     35 static const uint8_t kOrderedDither[DSIZE][DSIZE] = {
     36   {  0,  8,  2, 10 },     // coefficients are in DFIX fixed-point precision
     37   { 12,  4, 14,  6 },
     38   {  3, 11,  1,  9 },
     39   { 15,  7, 13,  5 }
     40 };
     41 
     42 #else
     43 #define DFIX 0
     44 #endif
     45 
     46 typedef struct {
     47   int width, height;   // dimension
     48   int stride;          // stride in bytes
     49   int row;             // current input row being processed
     50   uint8_t* src;        // input pointer
     51   uint8_t* dst;        // output pointer
     52 
     53   int radius;          // filter radius (=delay)
     54   int scale;           // normalization factor, in FIX bits precision
     55 
     56   void* mem;           // all memory
     57 
     58   // various scratch buffers
     59   uint16_t* start;
     60   uint16_t* cur;
     61   uint16_t* end;
     62   uint16_t* top;
     63   uint16_t* average;
     64 
     65   // input levels distribution
     66   int num_levels;       // number of quantized levels
     67   int min, max;         // min and max level values
     68   int min_level_dist;   // smallest distance between two consecutive levels
     69 
     70   int16_t* correction;  // size = 1 + 2*LUT_SIZE  -> ~4k memory
     71 } SmoothParams;
     72 
     73 //------------------------------------------------------------------------------
     74 
     75 #define CLIP_8b_MASK (int)(~0U << (8 + DFIX))
     76 static WEBP_INLINE uint8_t clip_8b(int v) {
     77   return (!(v & CLIP_8b_MASK)) ? (uint8_t)(v >> DFIX) : (v < 0) ? 0u : 255u;
     78 }
     79 #undef CLIP_8b_MASK
     80 
     81 // vertical accumulation
     82 static void VFilter(SmoothParams* const p) {
     83   const uint8_t* src = p->src;
     84   const int w = p->width;
     85   uint16_t* const cur = p->cur;
     86   const uint16_t* const top = p->top;
     87   uint16_t* const out = p->end;
     88   uint16_t sum = 0;               // all arithmetic is modulo 16bit
     89   int x;
     90 
     91   for (x = 0; x < w; ++x) {
     92     uint16_t new_value;
     93     sum += src[x];
     94     new_value = top[x] + sum;
     95     out[x] = new_value - cur[x];  // vertical sum of 'r' pixels.
     96     cur[x] = new_value;
     97   }
     98   // move input pointers one row down
     99   p->top = p->cur;
    100   p->cur += w;
    101   if (p->cur == p->end) p->cur = p->start;  // roll-over
    102   // We replicate edges, as it's somewhat easier as a boundary condition.
    103   // That's why we don't update the 'src' pointer on top/bottom area:
    104   if (p->row >= 0 && p->row < p->height - 1) {
    105     p->src += p->stride;
    106   }
    107 }
    108 
    109 // horizontal accumulation. We use mirror replication of missing pixels, as it's
    110 // a little easier to implement (surprisingly).
    111 static void HFilter(SmoothParams* const p) {
    112   const uint16_t* const in = p->end;
    113   uint16_t* const out = p->average;
    114   const uint32_t scale = p->scale;
    115   const int w = p->width;
    116   const int r = p->radius;
    117 
    118   int x;
    119   for (x = 0; x <= r; ++x) {   // left mirroring
    120     const uint16_t delta = in[x + r - 1] + in[r - x];
    121     out[x] = (delta * scale) >> FIX;
    122   }
    123   for (; x < w - r; ++x) {     // bulk middle run
    124     const uint16_t delta = in[x + r] - in[x - r - 1];
    125     out[x] = (delta * scale) >> FIX;
    126   }
    127   for (; x < w; ++x) {         // right mirroring
    128     const uint16_t delta =
    129         2 * in[w - 1] - in[2 * w - 2 - r - x] - in[x - r - 1];
    130     out[x] = (delta * scale) >> FIX;
    131   }
    132 }
    133 
    134 // emit one filtered output row
    135 static void ApplyFilter(SmoothParams* const p) {
    136   const uint16_t* const average = p->average;
    137   const int w = p->width;
    138   const int16_t* const correction = p->correction;
    139 #if defined(USE_DITHERING)
    140   const uint8_t* const dither = kOrderedDither[p->row % DSIZE];
    141 #endif
    142   uint8_t* const dst = p->dst;
    143   int x;
    144   for (x = 0; x < w; ++x) {
    145     const int v = dst[x];
    146     if (v < p->max && v > p->min) {
    147       const int c = (v << DFIX) + correction[average[x] - (v << LFIX)];
    148 #if defined(USE_DITHERING)
    149       dst[x] = clip_8b(c + dither[x % DSIZE]);
    150 #else
    151       dst[x] = clip_8b(c);
    152 #endif
    153     }
    154   }
    155   p->dst += p->stride;  // advance output pointer
    156 }
    157 
    158 //------------------------------------------------------------------------------
    159 // Initialize correction table
    160 
    161 static void InitCorrectionLUT(int16_t* const lut, int min_dist) {
    162   // The correction curve is:
    163   //   f(x) = x for x <= threshold2
    164   //   f(x) = 0 for x >= threshold1
    165   // and a linear interpolation for range x=[threshold2, threshold1]
    166   // (along with f(-x) = -f(x) symmetry).
    167   // Note that: threshold2 = 3/4 * threshold1
    168   const int threshold1 = min_dist << LFIX;
    169   const int threshold2 = (3 * threshold1) >> 2;
    170   const int max_threshold = threshold2 << DFIX;
    171   const int delta = threshold1 - threshold2;
    172   int i;
    173   for (i = 1; i <= LUT_SIZE; ++i) {
    174     int c = (i <= threshold2) ? (i << DFIX)
    175           : (i < threshold1) ? max_threshold * (threshold1 - i) / delta
    176           : 0;
    177     c >>= LFIX;
    178     lut[+i] = +c;
    179     lut[-i] = -c;
    180   }
    181   lut[0] = 0;
    182 }
    183 
    184 static void CountLevels(SmoothParams* const p) {
    185   int i, j, last_level;
    186   uint8_t used_levels[256] = { 0 };
    187   const uint8_t* data = p->src;
    188   p->min = 255;
    189   p->max = 0;
    190   for (j = 0; j < p->height; ++j) {
    191     for (i = 0; i < p->width; ++i) {
    192       const int v = data[i];
    193       if (v < p->min) p->min = v;
    194       if (v > p->max) p->max = v;
    195       used_levels[v] = 1;
    196     }
    197     data += p->stride;
    198   }
    199   // Compute the mininum distance between two non-zero levels.
    200   p->min_level_dist = p->max - p->min;
    201   last_level = -1;
    202   for (i = 0; i < 256; ++i) {
    203     if (used_levels[i]) {
    204       ++p->num_levels;
    205       if (last_level >= 0) {
    206         const int level_dist = i - last_level;
    207         if (level_dist < p->min_level_dist) {
    208           p->min_level_dist = level_dist;
    209         }
    210       }
    211       last_level = i;
    212     }
    213   }
    214 }
    215 
    216 // Initialize all params.
    217 static int InitParams(uint8_t* const data, int width, int height, int stride,
    218                       int radius, SmoothParams* const p) {
    219   const int R = 2 * radius + 1;  // total size of the kernel
    220 
    221   const size_t size_scratch_m = (R + 1) * width * sizeof(*p->start);
    222   const size_t size_m =  width * sizeof(*p->average);
    223   const size_t size_lut = (1 + 2 * LUT_SIZE) * sizeof(*p->correction);
    224   const size_t total_size = size_scratch_m + size_m + size_lut;
    225   uint8_t* mem = (uint8_t*)WebPSafeMalloc(1U, total_size);
    226 
    227   if (mem == NULL) return 0;
    228   p->mem = (void*)mem;
    229 
    230   p->start = (uint16_t*)mem;
    231   p->cur = p->start;
    232   p->end = p->start + R * width;
    233   p->top = p->end - width;
    234   memset(p->top, 0, width * sizeof(*p->top));
    235   mem += size_scratch_m;
    236 
    237   p->average = (uint16_t*)mem;
    238   mem += size_m;
    239 
    240   p->width = width;
    241   p->height = height;
    242   p->stride = stride;
    243   p->src = data;
    244   p->dst = data;
    245   p->radius = radius;
    246   p->scale = (1 << (FIX + LFIX)) / (R * R);  // normalization constant
    247   p->row = -radius;
    248 
    249   // analyze the input distribution so we can best-fit the threshold
    250   CountLevels(p);
    251 
    252   // correction table
    253   p->correction = ((int16_t*)mem) + LUT_SIZE;
    254   InitCorrectionLUT(p->correction, p->min_level_dist);
    255 
    256   return 1;
    257 }
    258 
    259 static void CleanupParams(SmoothParams* const p) {
    260   WebPSafeFree(p->mem);
    261 }
    262 
    263 int WebPDequantizeLevels(uint8_t* const data, int width, int height, int stride,
    264                          int strength) {
    265   int radius = 4 * strength / 100;
    266 
    267   if (strength < 0 || strength > 100) return 0;
    268   if (data == NULL || width <= 0 || height <= 0) return 0;  // bad params
    269 
    270   // limit the filter size to not exceed the image dimensions
    271   if (2 * radius + 1 > width) radius = (width - 1) >> 1;
    272   if (2 * radius + 1 > height) radius = (height - 1) >> 1;
    273 
    274   if (radius > 0) {
    275     SmoothParams p;
    276     memset(&p, 0, sizeof(p));
    277     if (!InitParams(data, width, height, stride, radius, &p)) return 0;
    278     if (p.num_levels > 2) {
    279       for (; p.row < p.height; ++p.row) {
    280         VFilter(&p);  // accumulate average of input
    281         // Need to wait few rows in order to prime the filter,
    282         // before emitting some output.
    283         if (p.row >= p.radius) {
    284           HFilter(&p);
    285           ApplyFilter(&p);
    286         }
    287       }
    288     }
    289     CleanupParams(&p);
    290   }
    291   return 1;
    292 }