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// #define TEST
#define X 95
#define Y 22
//#define USE_DBL
#ifdef USE_DBL
#define TYPE_FLT double
#define TYPE_INT long
#define MASK 0xFFFF
#define SHIFT 16
#define EPSILSON 4.94065645841247E-324
#else
#define TYPE_FLT float
#define TYPE_INT int
#define MASK 0x00FF
#define SHIFT 8
#define EPSILSON 1.401298E-45
#endif
constant sampler_t sampler = CLK_NORMALIZED_COORDS_FALSE |
CLK_ADDRESS_CLAMP_TO_EDGE |
CLK_FILTER_LINEAR;
struct input {
int state;
int sri;
int width;
int height;
};
TYPE_FLT read_data(image2d_t input_frame, int x, int z)
{
int2 gid = (int2)(x, z);
uint4 pixel = read_imageui(input_frame, sampler, gid);
TYPE_INT temp = (TYPE_INT)((TYPE_INT)pixel.x & MASK) |
(TYPE_INT)(((TYPE_INT)pixel.y & MASK) << SHIFT) |
(TYPE_INT)(((TYPE_INT)pixel.z & MASK) << (SHIFT * 2)) |
(TYPE_INT)(((TYPE_INT)pixel.w & MASK) << (SHIFT * 3));
TYPE_FLT raw_data = *((TYPE_FLT*)(&temp));
return raw_data;
}
kernel void Sri(read_only image2d_t input_frame, read_write image2d_t output_frame, local TYPE_FLT* sum, global TYPE_FLT* scratch_pad, struct input params)
{
int2 gid = (int2)(get_global_id(0), get_global_id(1));
TYPE_FLT input = read_data(input_frame, gid.x, gid.y);
TYPE_FLT output_data = 0;
if(params.sri == 0)
{
output_data = input;
}
else if(params.state == 1 || params.state == 4)
{
uint local_id = get_local_id(0);
uint group_size = get_local_size(0);
sum[local_id] = input;
uint is_odd = group_size % 2;
// Loop for computing localMaxes : divide WorkGroup into 2 parts
for (uint stride = group_size / 2; stride > 0; stride /= 2)
{
// Waiting
barrier(CLK_LOCAL_MEM_FENCE);
if (local_id < stride)
sum[local_id] += sum[local_id + stride];
if (local_id == 0)
{
if(is_odd)
sum[local_id] += sum[2 * stride];
is_odd = stride % 2;
}
}
// Write result into scratchPad[nWorkGroups]
if (local_id == 0)
{
scratch_pad[get_group_id(1)] = sum[0];
}
return;
}
else if(params.state == 2 || params.state == 5)
{
uint local_id = get_local_id(0);
uint group_size = get_local_size(0);
sum[local_id] = scratch_pad[gid.x];
uint is_odd = group_size % 2;
// Loop for computing localMaxes : divide WorkGroup into 2 parts
for (uint stride = group_size / 2; stride > 0; stride /= 2)
{
// Waiting
barrier(CLK_LOCAL_MEM_FENCE);
if (local_id < stride)
sum[local_id] += sum[local_id + stride];
if (local_id == 0)
{
if(is_odd)
sum[local_id] += sum[2 * stride];
is_odd = stride % 2;
}
}
// Write result into scratchPad[nWorkGroups]
if (local_id == 0)
{
scratch_pad[0] = sum[0] / (params.width * params.height);
}
return;
}
else if(params.state == 3)
{
TYPE_FLT mean = scratch_pad[0];
output_data = pow((input - mean), 2);
}
else if(params.state == 6)
{
int temp[5] = {3, 3, 5, 7, 7};
int p = temp[params.sri - 1];
int q = params.width > 1 ? p : 1;
float alpha = 1 - 0.25 * (params.sri - 1);
TYPE_FLT rho2 = scratch_pad[0];
int lag1 = (p - 1) / 2;
int lag2 = (q - 1) / 2;
float window[49];
int window_size = p * q;
for(int i = 0; i < window_size; i++)
window[i] = 0;
if(gid.x >= lag2 && gid.x < params.width - lag2 && gid.y >= lag1 && gid.y < params.height - lag1)
{
for(int i = -lag1; i <= lag1 ; i++)
{
for(int j = -lag2; j <= lag2 ; j++)
{
window[(i + lag1) * q + (j + lag2)] = read_data(input_frame, gid.x + j, gid.y + i);
}
}
#ifdef TEST
if(gid.x == X && gid.y == Y)
{
for(int i = 0; i < window_size; i++)
printf("[%d] > %f; ", i, window[i]);
}
#endif
float mean = 0;
for(int i = 0; i < window_size; i++)
{
mean += window[i];
}
mean /= window_size;
for(int i = 0; i < window_size; i++)
{
window[i] = pow((window[i] - mean), 2);
}
float sigma2 = 0;
for(int i = 0; i < window_size; i++)
{
sigma2 += window[i];
}
sigma2 /= window_size;
output_data = mean + alpha * (sigma2 / (sigma2 + rho2)) * (input - mean);
}
else
{
output_data = input;
}
if(output_data < 0)
output_data = 0;
}
TYPE_INT out = *((TYPE_INT*)(&output_data));
uint4 pixel;
pixel.x = (TYPE_INT)(out & MASK);
pixel.y = (TYPE_INT)((out >> SHIFT) & MASK);
pixel.z = (TYPE_INT)((out >> (SHIFT *2)) & MASK);
pixel.w = (TYPE_INT)((out >> (SHIFT * 3)) & MASK);
write_imageui(output_frame, gid, pixel);
}