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Side by Side Diff: skia/ext/convolver.h

Issue 13726: Move Image operations and convolver to the skia namespace and clean up a few ... (Closed) Base URL: svn://chrome-svn/chrome/trunk/src/
Patch Set: '' Created 12 years ago
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1 // Copyright (c) 2006-2008 The Chromium Authors. All rights reserved. 1 // Copyright (c) 2006-2008 The Chromium Authors. All rights reserved.
2 // Use of this source code is governed by a BSD-style license that can be 2 // Use of this source code is governed by a BSD-style license that can be
3 // found in the LICENSE file. 3 // found in the LICENSE file.
4 4
5 #ifndef SKIA_EXT_CONVOLVER_H_ 5 #ifndef SKIA_EXT_CONVOLVER_H_
6 #define SKIA_EXT_CONVOLVER_H_ 6 #define SKIA_EXT_CONVOLVER_H_
7 7
8 #include <vector> 8 #include <vector>
9 9
10 #include "base/basictypes.h" 10 #include "base/basictypes.h"
11 11
12 // avoid confusion with Mac OS X's math library (Carbon) 12 // avoid confusion with Mac OS X's math library (Carbon)
13 #if defined(OS_MACOSX) 13 #if defined(__APPLE__)
14 #undef FloatToFixed 14 #undef FloatToFixed
15 #endif 15 #endif
16 16
17 namespace gfx { 17 namespace skia {
18 18
19 // Represents a filter in one dimension. Each output pixel has one entry in this 19 // Represents a filter in one dimension. Each output pixel has one entry in this
20 // object for the filter values contributing to it. You build up the filter 20 // object for the filter values contributing to it. You build up the filter
21 // list by calling AddFilter for each output pixel (in order). 21 // list by calling AddFilter for each output pixel (in order).
22 // 22 //
23 // We do 2-dimensional convolusion by first convolving each row by one 23 // We do 2-dimensional convolusion by first convolving each row by one
24 // ConvolusionFilter1D, then convolving each column by another one. 24 // ConvolusionFilter1D, then convolving each column by another one.
25 // 25 //
26 // Entries are stored in fixed point, shifted left by kShiftBits. 26 // Entries are stored in fixed point, shifted left by kShiftBits.
27 class ConvolusionFilter1D { 27 class ConvolusionFilter1D {
28 public: 28 public:
29 // The number of bits that fixed point values are shifted by. 29 // The number of bits that fixed point values are shifted by.
30 enum { kShiftBits = 14 }; 30 enum { kShiftBits = 14 };
31 31
32 typedef short Fixed;
33
32 ConvolusionFilter1D() : max_filter_(0) { 34 ConvolusionFilter1D() : max_filter_(0) {
33 } 35 }
34 36
35 // Convert between floating point and our fixed point representation. 37 // Convert between floating point and our fixed point representation.
36 static inline int16 FloatToFixed(float f) { 38 static Fixed FloatToFixed(float f) {
37 return static_cast<int16>(f * (1 << kShiftBits)); 39 return static_cast<Fixed>(f * (1 << kShiftBits));
38 } 40 }
39 static inline unsigned char FixedToChar(int16 x) { 41 static unsigned char FixedToChar(Fixed x) {
40 return static_cast<unsigned char>(x >> kShiftBits); 42 return static_cast<unsigned char>(x >> kShiftBits);
41 } 43 }
42 44
43 // Returns the maximum pixel span of a filter. 45 // Returns the maximum pixel span of a filter.
44 int max_filter() const { return max_filter_; } 46 int max_filter() const { return max_filter_; }
45 47
46 // Returns the number of filters in this filter. This is the dimension of the 48 // Returns the number of filters in this filter. This is the dimension of the
47 // output image. 49 // output image.
48 int num_values() const { return static_cast<int>(filters_.size()); } 50 int num_values() const { return static_cast<int>(filters_.size()); }
49 51
50 // Appends the given list of scaling values for generating a given output 52 // Appends the given list of scaling values for generating a given output
51 // pixel. |filter_offset| is the distance from the edge of the image to where 53 // pixel. |filter_offset| is the distance from the edge of the image to where
52 // the scaling factors start. The scaling factors apply to the source pixels 54 // the scaling factors start. The scaling factors apply to the source pixels
53 // starting from this position, and going for the next |filter_length| pixels. 55 // starting from this position, and going for the next |filter_length| pixels.
54 // 56 //
55 // You will probably want to make sure your input is normalized (that is, 57 // You will probably want to make sure your input is normalized (that is,
56 // all entries in |filter_values| sub to one) to prevent affecting the overall 58 // all entries in |filter_values| sub to one) to prevent affecting the overall
57 // brighness of the image. 59 // brighness of the image.
58 // 60 //
59 // The filter_length must be > 0. 61 // The filter_length must be > 0.
60 // 62 //
61 // This version will automatically convert your input to fixed point. 63 // This version will automatically convert your input to fixed point.
62 void AddFilter(int filter_offset, 64 void AddFilter(int filter_offset,
63 const float* filter_values, 65 const float* filter_values,
64 int filter_length); 66 int filter_length);
65 67
66 // Same as the above version, but the input is already fixed point. 68 // Same as the above version, but the input is already fixed point.
67 void AddFilter(int filter_offset, 69 void AddFilter(int filter_offset,
68 const int16* filter_values, 70 const Fixed* filter_values,
69 int filter_length); 71 int filter_length);
70 72
71 // Retrieves a filter for the given |value_offset|, a position in the output 73 // Retrieves a filter for the given |value_offset|, a position in the output
72 // image in the direction we're convolving. The offset and length of the 74 // image in the direction we're convolving. The offset and length of the
73 // filter values are put into the corresponding out arguments (see AddFilter 75 // filter values are put into the corresponding out arguments (see AddFilter
74 // above for what these mean), and a pointer to the first scaling factor is 76 // above for what these mean), and a pointer to the first scaling factor is
75 // returned. There will be |filter_length| values in this array. 77 // returned. There will be |filter_length| values in this array.
76 inline const int16* FilterForValue(int value_offset, 78 inline const Fixed* FilterForValue(int value_offset,
77 int* filter_offset, 79 int* filter_offset,
78 int* filter_length) const { 80 int* filter_length) const {
79 const FilterInstance& filter = filters_[value_offset]; 81 const FilterInstance& filter = filters_[value_offset];
80 *filter_offset = filter.offset; 82 *filter_offset = filter.offset;
81 *filter_length = filter.length; 83 *filter_length = filter.length;
82 return &filter_values_[filter.data_location]; 84 return &filter_values_[filter.data_location];
83 } 85 }
84 86
85 private: 87 private:
86 struct FilterInstance { 88 struct FilterInstance {
87 // Offset within filter_values for this instance of the filter. 89 // Offset within filter_values for this instance of the filter.
88 int data_location; 90 int data_location;
89 91
90 // Distance from the left of the filter to the center. IN PIXELS 92 // Distance from the left of the filter to the center. IN PIXELS
91 int offset; 93 int offset;
92 94
93 // Number of values in this filter instance. 95 // Number of values in this filter instance.
94 int length; 96 int length;
95 }; 97 };
96 98
97 // Stores the information for each filter added to this class. 99 // Stores the information for each filter added to this class.
98 std::vector<FilterInstance> filters_; 100 std::vector<FilterInstance> filters_;
99 101
100 // We store all the filter values in this flat list, indexed by 102 // We store all the filter values in this flat list, indexed by
101 // |FilterInstance.data_location| to avoid the mallocs required for storing 103 // |FilterInstance.data_location| to avoid the mallocs required for storing
102 // each one separately. 104 // each one separately.
103 std::vector<int16> filter_values_; 105 std::vector<Fixed> filter_values_;
104 106
105 // The maximum size of any filter we've added. 107 // The maximum size of any filter we've added.
106 int max_filter_; 108 int max_filter_;
107 }; 109 };
108 110
109 // Does a two-dimensional convolusion on the given source image. 111 // Does a two-dimensional convolusion on the given source image.
110 // 112 //
111 // It is assumed the source pixel offsets referenced in the input filters 113 // It is assumed the source pixel offsets referenced in the input filters
112 // reference only valid pixels, so the source image size is not required. Each 114 // reference only valid pixels, so the source image size is not required. Each
113 // row of the source image starts |source_byte_row_stride| after the previous 115 // row of the source image starts |source_byte_row_stride| after the previous
114 // one (this allows you to have rows with some padding at the end). 116 // one (this allows you to have rows with some padding at the end).
115 // 117 //
116 // The result will be put into the given output buffer. The destination image 118 // The result will be put into the given output buffer. The destination image
117 // size will be xfilter.num_values() * yfilter.num_values() pixels. It will be 119 // size will be xfilter.num_values() * yfilter.num_values() pixels. It will be
118 // in rows of exactly xfilter.num_values() * 4 bytes. 120 // in rows of exactly xfilter.num_values() * 4 bytes.
119 // 121 //
120 // |source_has_alpha| is a hint that allows us to avoid doing computations on 122 // |source_has_alpha| is a hint that allows us to avoid doing computations on
121 // the alpha channel if the image is opaque. If you don't know, set this to 123 // the alpha channel if the image is opaque. If you don't know, set this to
122 // true and it will work properly, but setting this to false will be a few 124 // true and it will work properly, but setting this to false will be a few
123 // percent faster if you know the image is opaque. 125 // percent faster if you know the image is opaque.
124 // 126 //
125 // The layout in memory is assumed to be 4-bytes per pixel in B-G-R-A order 127 // The layout in memory is assumed to be 4-bytes per pixel in B-G-R-A order
126 // (this is ARGB when loaded into 32-bit words on a little-endian machine). 128 // (this is ARGB when loaded into 32-bit words on a little-endian machine).
127 void BGRAConvolve2D(const uint8* source_data, 129 void BGRAConvolve2D(const unsigned char* source_data,
128 int source_byte_row_stride, 130 int source_byte_row_stride,
129 bool source_has_alpha, 131 bool source_has_alpha,
130 const ConvolusionFilter1D& xfilter, 132 const ConvolusionFilter1D& xfilter,
131 const ConvolusionFilter1D& yfilter, 133 const ConvolusionFilter1D& yfilter,
132 uint8* output); 134 unsigned char* output);
133 135
134 } // namespace gfx 136 } // namespace skia
135 137
136 #endif // SKIA_EXT_CONVOLVER_H_ 138 #endif // SKIA_EXT_CONVOLVER_H_
137 139
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