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- W1978451310 abstract "In this paper, we investigate the problem of image de-noising. Here, the theory of morphological component analysis is employed to separate the image to be de-noised into some layers with different morphological components. In this paper, images are decomposed into two parts: smooth and textural parts. As noise only exists in the textural parts, we utilize bilateral filter to smooth textural parts. Finally, the smooth parts and the filtered textual parts are combined to get the image free of noise. The algorithm is tested experimentally, and the results show that it is superior to other state-of-art algorithms." @default.
- W1978451310 created "2016-06-24" @default.
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- W1978451310 date "2015-03-20" @default.
- W1978451310 modified "2023-09-27" @default.
- W1978451310 title "Image De-nosing with Morphological Component Analysis" @default.
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- W1978451310 doi "https://doi.org/10.12733/jics20105630" @default.
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