Adaptive Image Noise Filtering Using Transform Domain Local Statistics
نویسندگان
چکیده
Image noise ltering has been widely perceived as an estimation problem in the spatial domain. In this paper, we deal with it as an estimation problem in an uncorrelated transform domain. This idea leads to a generalization of the adaptive LMMSE estimator for ltering noisy images. In our proposed method, the transform-domain local statistics obtained from the noisy image are exploited. Due to the fact that the transform-domain local statistics carry more information about the image than the spatial-domain local statistics do, improvement in noise ltering is gained overall and particularly signi cant in the vicinity of edges. Subject terms: image restoration; image noise smoothing; adaptive LMMSE estimation; local statistics; decorrelation.
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Adaptive Image Noise Filtering Using Transform DomainLocal
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