LoG operator improved adaptive threshold Wavelet Denoising Algorithm

The present invention discloses an improved threshold denoising algorithm for image denoising process inferior edge portion and a non-edge portion denoising problem, a LoG operator based on improved adaptive threshold denoising algorithm. The steps are: first edge profile using LoG operator information extraction image; a second step of denoising the image non-edge portion, adding a correction factor on the basis of the threshold soft threshold function is to build a new threshold function; Step denoising the image edge portion, close to the energy of wavelet coefficients and combining thresholds, construct a new threshold function; a fourth step of image R G, B three processing channels, respectively, to retain all of the details information image. Experimental results show that the algorithm can effectively save the image edge information, and Eliminating noises improved significantly.