针对噪声在多小波分解后的尺度性以及图像本身的特性, 提出了一种基于遗传算法的多小波自适应去噪算

法, 该方法能通过遗传算法自适应地寻求去噪后图像的最小均方误差.实验结果表明, 该算法优于传统算法, 不仅

能有效滤除图像的噪声,而且能较好地保留图像的边缘信息, 具有更加理想的去噪效果-For noise characteristics of multi-scale wavelet decomposition of the image itself and the proposed multi-wavelet de-noising algorithm based on adaptive genetic algorithm, the method by adaptive genetic algorithm to seek the minimum mean square image de-noising Error experimental results show that the algorithm is superior to traditional methods, not only can effectively filter out the noise of the image, but also better preserve the image edge information, with more ideal denoising effect