基于免疫算法的自适应小波阈值图像去噪

Adaptive Wavelet Thresholding for Image Denoising Based on Immune Algorithms

本文提出一种基于免疫算法求阈值的方法,它与小波变换及Bayesian Risk相结合,提高了 图像的信噪比,减少了图像的均方误差。试验结果证明了这一点。

In this paper, a method to solve the threshold value based on immune algorithms is proposed. It combines with wavelet transfonn and Bayesian Risk, thus gives better MSE and SNR of image than other methods, according to the experimental results.