Graph smoothing function of two-dimensional filtering of the image with different nuclear cvSmooth achieve a variety of methods. Generally, image smoothing is mainly in order to eliminate the noise. Common image noise additive noise, multiplicative noise and quantization noise. Since the image of energy is mainly concentrated in the low-frequency portion, while the frequency band where the noise in the high-frequency band, and therefore are usually using the method of the low-pass filtering to eliminate noise. Convolve the function cvFilter2D image. Linear image filtering, support the replacement operation. When the the nuclear operation part exceeds the input image, the pixel value outside the boundary is equal to the nearest image pixel value.

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