The Denoising of Enhanced Edge Image Based on Wavelet

Abstract

Some of the traditional noise suppression techniques are often at the expense of image edges and details. In order to remove image noise and preserve image edge and texture details well enough at the same time, the method of using edge detection was proposed to detect image edge and texture details. Making it fused with the image and decomposed with noisy image is by using the second generation wavelet to denoise the image high-frequency adaptively. The simulation results show that the denoising method is superior to the traditional wavelet threshold denoising method.