Local adaptive transform based image denoising with varying window size
نویسندگان
چکیده
Local adaptive image de-noising in transform domain is a powerfull tool for adapting to unknown smoothness of the images. In this work we propose to perform local adaptive denoising with adaptively varying local transform support size rather than using a transform with ¿xed size. We use a special rule (Intersection of Con¿dence Intervals ICI) to select the optimum window sizes locally. The algorithm provides signi¿cant improvements in the de-noising performance.
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