噪声图像的非线性恢复。

Nonlinear restoration of noisy images.

机构信息

MEMBER, IEEE, Institut National de Recherche en Informatique et Automatique, Le Chesnay, France.

出版信息

IEEE Trans Pattern Anal Mach Intell. 1982 Feb;4(2):141-9. doi: 10.1109/tpami.1982.4767220.

DOI:10.1109/tpami.1982.4767220

Abstract

The restoration of images degraded by an additive white noise is performed by nonlinearly filtering a noisy image. The standard Wiener approach to this problem is modified to take into account the edge information of the image. Various filters of increasing complexity are derived. Experimental results are shown and compared to the standard Wiener filter results and other earlier attempts involving nonstationary filters.

摘要

对被加性白噪声退化的图像进行恢复是通过非线性滤波对噪声图像进行的。对该问题的标准 Wiener 方法进行了修改，以考虑图像的边缘信息。推导了各种复杂度不断增加的滤波器。给出了实验结果，并与标准 Wiener 滤波器的结果以及涉及非平稳滤波器的其他早期尝试进行了比较。