blur.hpp File Reference

#include <opencv2/core.hpp>

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Namespaces
namespace	cv
namespace	cv::fastcv

Functions
void	cv::fastcv::filter2D (InputArray _src, OutputArray _dst, int ddepth, InputArray _kernel)
	NxN correlation with non-separable kernel. Borders up to half-kernel width are ignored.
void	cv::fastcv::gaussianBlur (InputArray _src, OutputArray _dst, int kernel_size=3, bool blur_border=true)
	Gaussian blur with sigma = 0 and square kernel size. The way of handling borders is different with cv::GaussianBlur, leading to slight variations in the output.
void	cv::fastcv::normalizeLocalBox (InputArray _src, OutputArray _dst, Size pSize, bool useStdDev)
	Calculates the local subtractive and contrastive normalization of the image. Each pixel of the image is normalized by the mean and standard deviation of the patch centred at the pixel. It is optimized for Qualcomm's processors.
void	cv::fastcv::sepFilter2D (InputArray _src, OutputArray _dst, int ddepth, InputArray _kernelX, InputArray _kernelY)
	NxN correlation with separable kernel. If srcImg and dstImg point to the same address and srcStride equals to dstStride, it will do in-place. Borders up to half-kernel width are ignored. The way of handling overflow is different with OpenCV, this function will do right shift for the intermediate results and final result.