• Home
  • Line#
  • Scopes#
  • Navigate#
  • Raw
  • Download
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 // Quantize levels for specified number of quantization-levels ([2, 256]).
11 // Min and max values are preserved (usual 0 and 255 for alpha plane).
12 //
13 // Author: Skal (pascal.massimino@gmail.com)
14 
15 #include <assert.h>
16 
17 #include "src/utils/quant_levels_utils.h"
18 
19 #define NUM_SYMBOLS     256
20 
21 #define MAX_ITER  6             // Maximum number of convergence steps.
22 #define ERROR_THRESHOLD 1e-4    // MSE stopping criterion.
23 
24 // -----------------------------------------------------------------------------
25 // Quantize levels.
26 
QuantizeLevels(uint8_t * const data,int width,int height,int num_levels,uint64_t * const sse)27 int QuantizeLevels(uint8_t* const data, int width, int height,
28                    int num_levels, uint64_t* const sse) {
29   int freq[NUM_SYMBOLS] = { 0 };
30   int q_level[NUM_SYMBOLS] = { 0 };
31   double inv_q_level[NUM_SYMBOLS] = { 0 };
32   int min_s = 255, max_s = 0;
33   const size_t data_size = height * width;
34   int i, num_levels_in, iter;
35   double last_err = 1.e38, err = 0.;
36   const double err_threshold = ERROR_THRESHOLD * data_size;
37 
38   if (data == NULL) {
39     return 0;
40   }
41 
42   if (width <= 0 || height <= 0) {
43     return 0;
44   }
45 
46   if (num_levels < 2 || num_levels > 256) {
47     return 0;
48   }
49 
50   {
51     size_t n;
52     num_levels_in = 0;
53     for (n = 0; n < data_size; ++n) {
54       num_levels_in += (freq[data[n]] == 0);
55       if (min_s > data[n]) min_s = data[n];
56       if (max_s < data[n]) max_s = data[n];
57       ++freq[data[n]];
58     }
59   }
60 
61   if (num_levels_in <= num_levels) goto End;  // nothing to do!
62 
63   // Start with uniformly spread centroids.
64   for (i = 0; i < num_levels; ++i) {
65     inv_q_level[i] = min_s + (double)(max_s - min_s) * i / (num_levels - 1);
66   }
67 
68   // Fixed values. Won't be changed.
69   q_level[min_s] = 0;
70   q_level[max_s] = num_levels - 1;
71   assert(inv_q_level[0] == min_s);
72   assert(inv_q_level[num_levels - 1] == max_s);
73 
74   // k-Means iterations.
75   for (iter = 0; iter < MAX_ITER; ++iter) {
76     double q_sum[NUM_SYMBOLS] = { 0 };
77     double q_count[NUM_SYMBOLS] = { 0 };
78     int s, slot = 0;
79 
80     // Assign classes to representatives.
81     for (s = min_s; s <= max_s; ++s) {
82       // Keep track of the nearest neighbour 'slot'
83       while (slot < num_levels - 1 &&
84              2 * s > inv_q_level[slot] + inv_q_level[slot + 1]) {
85         ++slot;
86       }
87       if (freq[s] > 0) {
88         q_sum[slot] += s * freq[s];
89         q_count[slot] += freq[s];
90       }
91       q_level[s] = slot;
92     }
93 
94     // Assign new representatives to classes.
95     if (num_levels > 2) {
96       for (slot = 1; slot < num_levels - 1; ++slot) {
97         const double count = q_count[slot];
98         if (count > 0.) {
99           inv_q_level[slot] = q_sum[slot] / count;
100         }
101       }
102     }
103 
104     // Compute convergence error.
105     err = 0.;
106     for (s = min_s; s <= max_s; ++s) {
107       const double error = s - inv_q_level[q_level[s]];
108       err += freq[s] * error * error;
109     }
110 
111     // Check for convergence: we stop as soon as the error is no
112     // longer improving.
113     if (last_err - err < err_threshold) break;
114     last_err = err;
115   }
116 
117   // Remap the alpha plane to quantized values.
118   {
119     // double->int rounding operation can be costly, so we do it
120     // once for all before remapping. We also perform the data[] -> slot
121     // mapping, while at it (avoid one indirection in the final loop).
122     uint8_t map[NUM_SYMBOLS];
123     int s;
124     size_t n;
125     for (s = min_s; s <= max_s; ++s) {
126       const int slot = q_level[s];
127       map[s] = (uint8_t)(inv_q_level[slot] + .5);
128     }
129     // Final pass.
130     for (n = 0; n < data_size; ++n) {
131       data[n] = map[data[n]];
132     }
133   }
134  End:
135   // Store sum of squared error if needed.
136   if (sse != NULL) *sse = (uint64_t)err;
137 
138   return 1;
139 }
140 
141