基于复小波系数局部方差无偏估计量的图像去噪

为了更有效地去噪,在考虑了图像局部具有不独立性特点的基础上,利用双树复小波变换,提出了一种新的空间适应算法,该算法对于每个系数利用中心方形窗来估计局部方差,克服了以前的去噪方法不能有效地去除图像边缘噪声的弱点,和目前好的实验结果进行的对比结果表明,该方法有效地改善了去噪效果。

Image Denoising Based on Non-based Estimator of Local Variance for Complex Wavelet Coefficients

In order to effective denoising, this paper proposes a new computationally feasible adaptive noise-smoothing algorithm that considers the local dependency characteristics of images under the complex dual-tree discrete wavelet transform (DWT). The variances of local statistics are estimated with a centered square-shaped window for each coefficient. Previous denoising algorithms tend to smear edges severely in the filtered result. The new denoising algorithm overcomes this problem. Some comparisons with the best available results will be given in order to illustrate the effectiveness of the proposed algorithm.