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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 }