33. __global__ void cvtBGRToUchar4(BGR *bmp, uchar4 *pixel, int width, int height){
int i = blockIdx.x*blockDim.x + threadIdx.x;
int j = blockIdx.y*blockDim.y + threadIdx.y;
int ij = i + width*j;
//make_uchar4はCUDAで定義される関数
pixel[ij] = make_uchar4(bmp[ij].B, bmp[ij].G, bmp[ij].R, 0);
}
__global__ void cvtUchar4ToBGR(uchar4 *pixel, BGR *bmp,int width, int height){
int i = blockIdx.x*blockDim.x + threadIdx.x;
int j = blockIdx.y*blockDim.y + threadIdx.y;
int ij = i + width*j;
bmp[ij].B = pixel[ij].x;
bmp[ij].G = pixel[ij].y;
bmp[ij].R = pixel[ij].z;
}
BGR型とuchar4の相互変換
2015/06/24GPGPU実践プログラミング33
kernel.cu
34. __global__ void negativeUchar4(uchar4 *pixel, int width, int height, uchar4 *filtered){
int i = blockIdx.x*blockDim.x + threadIdx.x;
int j = blockIdx.y*blockDim.y + threadIdx.y;
int ij = i + width*j;
filtered[ij].x = 255 ‐ pixel[ij].x;
filtered[ij].y = 255 ‐ pixel[ij].y;
filtered[ij].z = 255 ‐ pixel[ij].z;
//filtered[ij].w = 255 ‐ pixel[ij].w;//.wの処理は不要
}
ネガティブ処理（uchar4版）
2015/06/24GPGPU実践プログラミング34
kernel.cu
35. __global__ void negativeBGR(BGR *pixel, int width, int height, BGR *filtered){
int i = blockIdx.x*blockDim.x + threadIdx.x;
int j = blockIdx.y*blockDim.y + threadIdx.y;
int ij = i + width*j;
filtered[ij].B = 255 ‐ pixel[ij].B;
filtered[ij].G = 255 ‐ pixel[ij].G;
filtered[ij].R = 255 ‐ pixel[ij].R;
}
ネガティブ処理（BGR版）
2015/06/24GPGPU実践プログラミング35
kernel.cu
36. __global__ void yreflectUchar4(uchar4 *pixel, int width, int height, uchar4 *filtered){
int i = blockIdx.x*blockDim.x + threadIdx.x;
int j = blockIdx.y*blockDim.y + threadIdx.y;
int ij = i + width*j;
int ijreflected = i + width*(height‐1 ‐ j);
filtered[ijreflected].x = pixel[ij].x;
filtered[ijreflected].y = pixel[ij].y;
filtered[ijreflected].z = pixel[ij].z;
filtered[ijreflected].w = pixel[ij].w;//単純な代入の場合，.wは無駄でも処理を記述しておく
}
画像の反転（uchar4版）
2015/06/24GPGPU実践プログラミング36
kernel.cu
37. __global__ void yreflectBGR(BGR *pixel, int width, int height, BGR *filtered){
int i = blockIdx.x*blockDim.x + threadIdx.x;
int j = blockIdx.y*blockDim.y + threadIdx.y;
int ij = i + width*j;
int ijreflected = i + width*(height ‐ j ‐ 1);
filtered[ijreflected].B = pixel[ij].B;
filtered[ijreflected].G = pixel[ij].G;
filtered[ijreflected].R = pixel[ij].R;
}
画像の反転（BGR版）
2015/06/24GPGPU実践プログラミング37
kernel.cu
38. __global__ void grayUchar4(uchar4 *pixel, int width, int height, uchar4 *filtered){
int i = blockIdx.x*blockDim.x + threadIdx.x;
int j = blockIdx.y*blockDim.y + threadIdx.y;
int ij = i + width*j;
unsigned char gray = (unsigned char)( 0.114478f*(float)pixel[ij].x
+ 0.586611f*(float)pixel[ij].y
+ 0.298912f*(float)pixel[ij].z);
filtered[ij].x = gray;
filtered[ij].y = gray;
filtered[ij].z = gray;
}
グレイスケール（uchar4版）
2015/06/24GPGPU実践プログラミング38
kernel.cu
39. __global__ void grayBGR(BGR *pixel, int width, int height, BGR *filtered){
int i = blockIdx.x*blockDim.x + threadIdx.x;
int j = blockIdx.y*blockDim.y + threadIdx.y;
int ij = i + width*j;
unsigned char gray = (unsigned char)( 0.114478f*(float)pixel[ij].B
+ 0.586611f*(float)pixel[ij].G
+ 0.298912f*(float)pixel[ij].R);
filtered[ij].B = gray;
filtered[ij].G = gray;
filtered[ij].R = gray;
}
グレイスケール（BGR版）
2015/06/24GPGPU実践プログラミング39
kernel.cu
40. __global__ void boxfilterUchar4(uchar4 *pixel, int width, int height, uchar4 *filtered){
int i = blockIdx.x*blockDim.x + threadIdx.x;
int j = blockIdx.y*blockDim.y + threadIdx.y;
if (0<i&&i<width && 0<j&&j<height){
int i__j__ = (i )+width*(j );
int ip1j__ = (i+1)+width*(j );
int im1j__ = (i‐1)+width*(j );
int i__jp1 = (i )+width*(j+1);
int i__jm1 = (i )+width*(j‐1);
int ip1jp1 = (i+1)+width*(j+1);
int im1jp1 = (i‐1)+width*(j+1);
int ip1jm1 = (i+1)+width*(j‐1);
int im1jm1 = (i‐1)+width*(j‐1);
//cfilterはコンスタントメモリ
filtered[i__j__].x =(unsigned char)( cfilter[0][0]*pixel[im1jm1].x
+cfilter[1][0]*pixel[i__jm1].x+cfilter[2][0]*pixel[ip1jm1].x
+cfilter[0][1]*pixel[im1j__].x+cfilter[1][1]*pixel[i__j__].x
+cfilter[2][1]*pixel[ip1j__].x+cfilter[0][2]*pixel[im1jp1].x
+cfilter[1][2]*pixel[i__jp1].x+cfilter[2][2]*pixel[ip1jp1].x);
空間フィルタ（uchar4版）
2015/06/24GPGPU実践プログラミング40
kernel.cu
42. __global__ void boxfilterBGR(BGR *pixel, int width, int height, BGR *filtered){
int i = blockIdx.x*blockDim.x + threadIdx.x;
int j = blockIdx.y*blockDim.y + threadIdx.y;
if (0<i&&i<width && 0<j&&j<height){
int i__j__ = (i )+width*(j );
int ip1j__ = (i+1)+width*(j );
int im1j__ = (i‐1)+width*(j );
int i__jp1 = (i )+width*(j+1);
int i__jm1 = (i )+width*(j‐1);
int ip1jp1 = (i+1)+width*(j+1);
int im1jp1 = (i‐1)+width*(j+1);
int ip1jm1 = (i+1)+width*(j‐1);
int im1jm1 = (i‐1)+width*(j‐1);
filtered[i__j__].B =(unsigned char)( cfilter[0][0]*pixel[im1jm1].B
+cfilter[1][0]*pixel[i__jm1].B+cfilter[2][0]*pixel[ip1jm1].B
+cfilter[0][1]*pixel[im1j__].B+cfilter[1][1]*pixel[i__j__].B
+cfilter[2][1]*pixel[ip1j__].B+cfilter[0][2]*pixel[im1jp1].B
+cfilter[1][2]*pixel[i__jp1].B+cfilter[2][2]*pixel[ip1jp1].B);
空間フィルタ（BGR版）
2015/06/24GPGPU実践プログラミング42
kernel.cu
