Adaptive image noise filtering using transform domain local statistics

Sheung On Choy; Yuk-Hee Chan; Wan-Chi Siu

doi:10.1117/1.601750

Abstract

Image noise filtering has been widely perceived as an estimation problem in the spatial domain. We deal with it as an estimation problem in an uncorrelated transform domain. This idea leads to a generalization of the adaptive linear minimum mean square error (LMMSE) estimator for filtering 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 filtering is gained overall and is particularly significant in the vicinity of edges.

Citation Download Citation

Sheung On Choy, Sheung On Choy, Yuk-Hee Chan, Yuk-Hee Chan, Wan-Chi Siu, Wan-Chi Siu, } "Adaptive image noise filtering using transform domain local statistics," Optical Engineering 37(8), (1 August 1998). https://doi.org/10.1117/1.601750 . Submission:

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