Wavelet image threshold denoising based on edge detection
一种基于图像边缘检测的小波阈值去噪方法

Edge information is the most important high frequency information of an image.Therefore it is vital to maintain more edge information in the process of denoising.The image denoising method,wavelet image threshold denoising based on edge detection,was presented.Before denoising,the edge of a noised image was detected with small-scale LOG operator which had higher orientation precision,and the image edge was smoothed with average filter to reduce a great lot of isolated point.Next,the image edge and non-edge character in wavelet coefficient were ascertained by decomposing the noised image and edge image,and the edge coefficient of wavelet decomposed with lower thresholds and non-edge coefficient were dealt with higher thresholds.In this way,the edge could be protected while denoising.Experiment results show that,compared with the commonly-used wavelet threshold denoising methods,this method can keep image's edges from damaging and excels commonly-used wavelet threshold denoising methods.