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- W970354908 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." @default.
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- W970354908 date "2012-01-01" @default.
- W970354908 modified "2023-09-23" @default.
- W970354908 title "Most relevant weighted filtering with one-step singular correlation recognition" @default.
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