基于小波变换在图像去噪中应用

基于噪声是影响图像质量的重要因素.噪声的存在导致图像的某些特征细节不能被辨识,图像信噪比下降.本文将小波阈值去噪与维纳滤波结合起来,在小波域进行维纳滤波.设计了双小波基维纳滤波器,采用两路小波变换,对静态图像和动态影像进行去噪实验,结果表明改进的小波域去噪方法相比其他方法能够获得较好的视觉效果和较高的信噪比.

Study on Wavelet Transform Image Denosing

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.