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Abstract
Currently, the SURE-LET approach has been widely used for the removal of noise in corrupted image. However the original interscale-based SURE-LET approach rules out intrascale considerations of wavelet coefficients, which makes the denoising ability of the technique is reduced greatly. In this paper, the local Wiener-like estimator is incorporated into the original interscale-based SURE-LET thresholding function. The tests show the improved interscale-based SURE-LET gets the better denoising performance objectively and subjectively. Especially for Barbara image, the PSNR is on average improved by 0.52dB compared to the traditional pointwise interscale-based SURE-LET approach.
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