基于非抽样小波和边缘保持的自适应图像降噪

提出了一种基于非抽样小波和边缘保持的自适应图像降噪方法.利用小波系数的层间相关性理论及小波域系数模型理论,对小波变换得到的系数进行了分类和处理.与当前许多方法的做法不同,本文算法将图像的小波系数分成了与边缘相关的系数、与同性区域相关的系数和与噪声相关的系数,针对这3类系数的特点,使用不同的策略进行分别处理,保证了降噪的性能.实验结果表明,与传统方法相比,该方法不仅可以获得较清楚的图像边缘,而且降噪后图像质量优良.

Nondecimated Wavelet Image Adaptive Denoising with Edge Preservation

To remove noises without blurring the image edge, an adaptive method for image denoising with nondecimated wavelet and edge preservation is proposed in this paper. Based on the interseale dependency of wavelet coefficients,we make a difference between the wavelet coefficients related to noise,the coeffidents associated to homogeneous regions and the coefficients noise related. At each resolution coefficients and the noise-related coeffdents are modeled by different statistical models. The wavelt coefficients related to homogeneous regions are processed by an adaptive threshold,which is derived from Bayesian estimation. Experimental results show that this method often obtains clearer edges and better denoising perform ance in comparison with common methods.