1 /*
2 * feConvolveMatrix filter primitive renderer
3 *
4 * Authors:
5 * Felipe CorrĂȘa da Silva Sanches <felipe.sanches@gmail.com>
6 *
7 * Copyright (C) 2007 authors
8 *
9 * Released under GNU GPL, read the file 'COPYING' for more information
10 */
12 #include "display/nr-filter-convolve-matrix.h"
13 #include <vector>
14 namespace NR {
16 FilterConvolveMatrix::FilterConvolveMatrix()
17 {}
19 FilterPrimitive * FilterConvolveMatrix::create() {
20 return new FilterConvolveMatrix();
21 }
23 FilterConvolveMatrix::~FilterConvolveMatrix()
24 {}
26 static bool inside_area(int px, int py, int w, int h){
27 if (px<0) return false;
28 if (py<0) return false;
29 if (px>w) return false;
30 if (py>h) return false;
31 return true;
32 }
34 int FilterConvolveMatrix::render(FilterSlot &slot, Matrix const &trans) {
35 NRPixBlock *in = slot.get(_input);
36 NRPixBlock *out = new NRPixBlock;
38 nr_pixblock_setup_fast(out, in->mode,
39 in->area.x0, in->area.y0, in->area.x1, in->area.y1,
40 true);
42 unsigned char *in_data = NR_PIXBLOCK_PX(in);
43 unsigned char *out_data = NR_PIXBLOCK_PX(out);
45 double result_R, result_G, result_B, result_A;
46 int i, j, x, y;
47 int width = in->area.x1 - in->area.x0;
48 int height = in->area.y1 - in->area.y0;
50 double div=0;
52 if (divisor != 0){
53 div = divisor;
54 } else {
55 for (i=0;i<orderX*orderY;i++){
56 div += kernelMatrix[i];
57 }
58 }
60 for (x=0; x < width; x++){
61 for (y=0; y < height; y++){
62 result_R = 0;
63 result_G = 0;
64 result_B = 0;
65 result_A = 0;
66 for (i=0; i < orderY; i++){
67 for (j=0; j < orderX; j++){
68 if (inside_area(x - targetX + j, y - targetY + i, width, height)){
69 result_R += ( (double) in_data[4*( x - targetX + j + width*(y - targetY + i) )] * kernelMatrix[orderX-j-1 + orderX*(orderY-i-1)] );
70 result_G += ( (double) in_data[4*( x - targetX + j + width*(y - targetY + i) )+1] * kernelMatrix[orderX-j-1 + orderX*(orderY-i-1)] );
71 result_B += ( (double) in_data[4*( x - targetX + j + width*(y - targetY + i) )+2] * kernelMatrix[orderX-j-1 + orderX*(orderY-i-1)] );
72 result_A += ( (double) in_data[4*( x - targetX + j + width*(y - targetY + i) )+3] * kernelMatrix[orderX-j-1 + orderX*(orderY-i-1)] );
73 }
74 }
75 }
76 result_R = result_R / div + bias;
77 result_G = result_G / div + bias;
78 result_B = result_B / div + bias;
79 result_A = result_A / div + bias;
81 result_R = (result_R > 0 ? result_R : 0);
82 result_G = (result_G > 0 ? result_G : 0);
83 result_B = (result_B > 0 ? result_B : 0);
84 result_A = (result_A > 0 ? result_A : 0);
86 out_data[4*( x + width*y )] = (result_R < 255 ? (unsigned char)result_R : 255);
87 out_data[4*( x + width*y )+1] = (result_G < 255 ? (unsigned char)result_G : 255);
88 out_data[4*( x + width*y )+2] = (result_B < 255 ? (unsigned char)result_B : 255);
89 out_data[4*( x + width*y )+3] = (result_A < 255 ? (unsigned char)result_A : 255);
90 }
91 }
93 out->empty = FALSE;
94 slot.set(_output, out);
95 return 0;
96 }
98 void FilterConvolveMatrix::set_targetX(int coord) {
99 targetX = coord;
100 }
102 void FilterConvolveMatrix::set_targetY(int coord) {
103 targetY = coord;
104 }
106 void FilterConvolveMatrix::set_orderX(int coord) {
107 orderX = coord;
108 }
110 void FilterConvolveMatrix::set_orderY(int coord) {
111 orderY = coord;
112 }
114 void FilterConvolveMatrix::set_divisor(double d) {
115 divisor = d;
116 }
118 void FilterConvolveMatrix::set_bias(double b) {
119 bias = b;
120 }
122 void FilterConvolveMatrix::set_kernelMatrix(std::vector<gdouble> &km) {
123 kernelMatrix = km;
124 }
126 void FilterConvolveMatrix::area_enlarge(NRRectL &area, Matrix const &trans)
127 {
128 }
130 } /* namespace NR */
132 /*
133 Local Variables:
134 mode:c++
135 c-file-style:"stroustrup"
136 c-file-offsets:((innamespace . 0)(inline-open . 0)(case-label . +))
137 indent-tabs-mode:nil
138 fill-column:99
139 End:
140 */
141 // vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:encoding=utf-8:textwidth=99 :