An Improved Nonlinear Diffusion Algorithm for Image Denoising
The original nonlinear diffusion algorithm for image denoising is proposed by Perona and Malik in 1990. This method diffuse in different directions along the image gradient, but it can not make greatly well on the edge. So with the features of wavelet transform which can save the detail information of an image, an improved nonlinear diffusion algorithm is proposed. In this method, we construct the diffusion coefficient with wavelet coefficients which can reduce image noise without blurring edge. The computer simulations show that the proposed method has better edge protection and excellent denoising performance.
image denoising nonlinear diffusion wavelet transform
WeiWu Cheng Zhong
ChangChun University of Technology Department of electronics and information engineering Changchun, China
国际会议
长春
英文
188-191
2010-08-24（万方平台首次上网日期，不代表论文的发表时间）