Empirical Bayes Approach to Improve Wavelet Thresholding for Image Noise Reduction
用于改善图像降噪小波阈值处理的经验贝叶斯方法
Wavelet threshold algorithms replace small magnitude wavelet coefficients with zero and keep or shrink the other coefficients. This is basically a local procedure, because wavelet coefficients characterize the local regularity of a function. Although a wavelet transform has decorrelating properties, structures in images, like edges, are never decorrelated completely, and these structures appear in the wavelet coefficients: a classification based on a local criterion-like…