blob: f2f9a361fa9041716f0a44fa07f003c7d8227381 [file] [log] [blame]
#pragma version(1)
#include "ip.rsh"
int height;
int width;
int radius;
uchar4 * InPixel;
uchar4 * OutPixel;
float4 * ScratchPixel1;
float4 * ScratchPixel2;
rs_script vBlurScript;
rs_script hBlurScript;
const int CMD_FINISHED = 1;
// Store our coefficients here
static float gaussian[MAX_RADIUS * 2 + 1];
static void computeGaussianWeights() {
// Compute gaussian weights for the blur
// e is the euler's number
float e = 2.718281828459045f;
float pi = 3.1415926535897932f;
// g(x) = ( 1 / sqrt( 2 * pi ) * sigma) * e ^ ( -x^2 / 2 * sigma^2 )
// x is of the form [-radius .. 0 .. radius]
// and sigma varies with radius.
// Based on some experimental radius values and sigma's
// we approximately fit sigma = f(radius) as
// sigma = radius * 0.4 + 0.6
// The larger the radius gets, the more our gaussian blur
// will resemble a box blur since with large sigma
// the gaussian curve begins to lose its shape
float sigma = 0.4f * (float)radius + 0.6f;
// Now compute the coefficints
// We will store some redundant values to save some math during
// the blur calculations
// precompute some values
float coeff1 = 1.0f / (sqrt( 2.0f * pi ) * sigma);
float coeff2 = - 1.0f / (2.0f * sigma * sigma);
float normalizeFactor = 0.0f;
float floatR = 0.0f;
int r;
for (r = -radius; r <= radius; r ++) {
floatR = (float)r;
gaussian[r + radius] = coeff1 * pow(e, floatR * floatR * coeff2);
normalizeFactor += gaussian[r + radius];
}
//Now we need to normalize the weights because all our coefficients need to add up to one
normalizeFactor = 1.0f / normalizeFactor;
for (r = -radius; r <= radius; r ++) {
floatR = (float)r;
gaussian[r + radius] *= normalizeFactor;
}
}
static void copyInput() {
rs_allocation ain;
rsSetObject(&ain,rsGetAllocation(InPixel));
uint32_t dimx = rsAllocationGetDimX(ain);
uint32_t dimy = rsAllocationGetDimY(ain);
for (uint32_t y = 0; y < dimy; y++) {
for (uint32_t x = 0; x < dimx; x++) {
ScratchPixel1[x + y * dimx] = convert_float4(InPixel[x + y * dimx]);
}
}
}
void filter() {
copyInput();
computeGaussianWeights();
FilterStruct fs;
fs.gaussian = gaussian;
fs.width = width;
fs.height = height;
fs.radius = radius;
fs.ain = rsGetAllocation(ScratchPixel1);
rsForEach(hBlurScript, fs.ain, rsGetAllocation(ScratchPixel2), &fs);
fs.ain = rsGetAllocation(ScratchPixel2);
rsForEach(vBlurScript, fs.ain, rsGetAllocation(OutPixel), &fs);
rsSendToClientBlocking(CMD_FINISHED);
}