Noise is the important factor of image quality.It will result in being unable to recognize some character details of image and decreasing of PSNR.How to reduce noise effectively and extract image information becomes very important.In this paper,we develop a new method for wavelet denoising that blends wavelet shrinkage and Wiener filtering.Image with noise is processed by Wiener filtering in wavelet domain.By designing Vague Denoiser filter,we have the experiment of static image denoising and animated image denoising.The result indicates that the developed method gives better visual quality and PSNR performance than others.
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孔凡良; 李正凡.电力营销管理信息系统的设计与实现[J].华东交通大学学报,2007,24(1):89-92. . Study on Wavelet Transform Image Denosing[J]. JOURNAL OF EAST CHINA JIAOTONG UNIVERSTTY,2007,24(1):89-92