一种用于去除图像中高斯噪声的自适应递归二维滤波器。

An adaptive recursive 2-D filter for removal of Gaussian noise in images.

机构信息

Lehrstuhl fuer Allgemeine und Theor. Elektrotechnik, Erlanger Univ.

出版信息

IEEE Trans Image Process. 1992;1(3):431-6. doi: 10.1109/83.148617.

Abstract

A 2D recursive low-pass filter with adaptive coefficients for restoring images degraded by Gaussian noise is proposed. Some of the ideas developed are also submitted for nonGaussian noise. The adaptation is performed with respect to three local image features-edges, spots, and flat regions-for which detectors are developed by extending some existing methods. It is demonstrated that the filter can easily be extended so that simultaneous noise removal and edge enhancement is possible. A comparison with other approaches is made. Some examples illustrate the performance of the filter.

摘要

提出了一种用于恢复高斯噪声退化图像的二维递归低通滤波器，该滤波器具有自适应系数。还提出了一些针对非高斯噪声的改进方法。自适应是根据三个局部图像特征——边缘、斑点和平面区域来进行的，为此，通过扩展一些现有的方法来开发这些特征的检测器。结果表明，该滤波器可以很容易地进行扩展，从而实现同时去除噪声和增强边缘的效果。与其他方法进行了比较。一些示例说明了滤波器的性能。