关键词: 小波域, 领域边界, 维纳滤波, Perona-Malik, 伪Gibbs

Abstract: Aiming at the problems that the image denoising effect is poor by the traditional wavelet domain Wiener filter, and there are many pseudo Gibbs, this paper proposes a new denoising algorithm of wavelet domain Wener filter and Perona-Malik fusion. Firstly, the thermal diffusion iteration of the partial differential equation is simulated by wavelet-domain Wiener filter to remove noise, then the result obtained through the above will be done the second denoising with the Perona-Malikalgorithm. During the iterative process, the effective information of the image is preserved by the adaptivity of the noise weight coefficient η as possible as it can. The results of simulation experiment and the analysis from comparison with other algorithms indicate that this algorithm has a good ability of denoising and suppressing the pseudo Gibbs, preserves the edge details of the image and improves the PSNR (peak signal to noise ratio) of the image.

Key words: wavelet domain, domain boundary, Wiener filter, Perona-Malik, pseudo Gibbs