LIU Chao(刘超)1, CAI Jian-chao(蔡建超)2
(1. School of Mechanics, Jinzhong University, Jinzhong 030600, China;2. College of Physics and Electronics Engineering, Shanxi University, Taiyuan 030006, China)
Abstract：Based on the recognition of one-step singular correlation and the remedying methods obtained before, the correlation properties of the neighborhood pixels and the characteristics of image de-noising were analyzed. A kind of most relevant weighted filtering method based on one-step singular correlation recognition (OSSC-MRWF) was put forward. The simulation experiments were done and the comparison with some commonly used methods under salt-and-pepper noises was made. The results show that the proposed method can not only effectively recognize salt-and-pepper noises and mend up the noise points, but also protect the original information such as the edge details very well. The accuracy and performance indicators are further improved considerably.
Key words：correlation function; image filtering; one-step singular correlation; singular value recognition; weighted filtering; salt-and-pepper noise
CLD number： TP911.73 Document code： A
Article ID： 1674-8042(2012)04-0328-05 doi： 10.3969/j.issn.1674-8042.2012.04.006
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