init.cl File Reference

Macros
#define	R_PORT   0.2126f
#define	G_PORT   0.7152f
#define	B_PORT   0.0722f

Functions
__kernel void	convertGrayAndNormalize (__global uchar *src, __global float *dst)
__kernel void	resize (__global float *src, __global float *dst)
__kernel void	gaussian (__global float *src, __global float *dst, const int width, const int height, __global const float *gKernel, const int kSize)

Macro Definition Documentation

B_PORT

#define B_PORT   0.0722f

G_PORT

#define G_PORT   0.7152f

R_PORT

#define R_PORT   0.2126f

Function Documentation

convertGrayAndNormalize()

__kernel void convertGrayAndNormalize	(	__global uchar *	src,
		__global float *	dst
	)

Change 3Channel RGB image to normalized gray image.

Parameters

src	3Channel RGB input image
dst	Normalized grayscale output image with pixel values in 0.0f~1.0f

gaussian()

__kernel void gaussian	(	__global float *	src,
		__global float *	dst,
		const int	width,
		const int	height,
		__global const float *	gKernel,
		const int	kSize
	)

Blurs an image using a Gaussian filter using padding
Assume that dst already copy the data of src

Parameters

src	Input image; Normalized grayscale input image
dst	Output gaussian filtered image
width	width of the input image
height	height of the input image
gKernel	Gaussian kernel
kSize	Gaussian kernel size. Have to be positive and odd

resize()

__kernel void resize	(	__global float *	src,
		__global float *	dst
	)

Resize image using Nearest neighbor sampling. Reduce width and height in half

Parameters

src	Normalized grayscale input image
dst	Resized image