Selective removal of impulse noise based on homogeneity level information

被引:199
作者
Pok, G [1 ]
Liu, JC
Nair, AS
机构
[1] Yanbian Univ, Dept Comp Sci, Yanji, Peoples R China
[2] Texas A&M Univ, Dept Comp Sci, College Stn, TX 77843 USA
[3] Texas A&M Univ, Dept Elect Engn, College Stn, TX 77843 USA
关键词
adaptive median filter; cooccurrence matrix; homogeneity level; impulse noise;
D O I
10.1109/TIP.2002.804278
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, we propose a decision-based, signal-adaptive median filtering algorithm for removal of impulse noise. Our algorithm achieves accurate noise detection and high SNR measures without smearing the fine details and edges in the image. The notion of homogeneity level is defined for pixel values based on their global and local statistical properties. The cooccurrence matrix technique is used to represent the correlations between a pixel and its neighbors, and to derive the upper and lower bound of the homogeneity level. Noise detection is performed at two stages: noise candidates are first selected using the homogeneity level, and then a refining process follows to eliminate false detections. The noise detection scheme does not use a quantitative decision measure, but uses qualitative structural information, and it is not subject to burdensome computations for optimization of the threshold values. Empirical results indicate that our scheme performs significantly better than other median filters, in terms of noise suppression and detail preservation.
引用
收藏
页码:85 / 92
页数:8
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