关键词: 随机值脉冲噪声, 灰度等级共现几率, 噪声可信度

Abstract: The locally statistical characters of the random valued impulse noise image are studied in detail. And the gray-levels occurrence probability is defined to measure the noise reliability of the image pixels. Then a nonlinear algorithm called minimum occurrence probability median (MOPM) filter is presented to remove the random valued impulse noise from grayscale images. The presented algorithm performs noise detection and filtering at multiple resolutions based on the biological concept of foveal vision. Computer simulation results show that the presented algorithm outperforms the other filtering algorithms in the aspects of filtering ability, adaptability and details preserving ability, which is very close to the ideal median filter, especially for highly corrupted images.

Key words: random valued impulse noise, gray-levels occurrence probability, noise reliability