An Adaptive Transform-Domain Estimator for Filtering Noisy Images
نویسنده
چکیده
| Image noise ltering 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 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 l-tering is gained overall and is particularly signiicant in the vicinity of edges.
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