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It is reported that the use of multiple number of subband transforms for thresholding-based denoising gains performance in the sense of the mean square error. In traditional thresholding-based methods, a noisy image is decomposed by linear transformation such as wavelets, FFT, and so on, and the transformed coe cients are hard-¡ soft-thresholded. In particular, it is well-known that wavelets work well for denoising. From the viewpoint that wavelets are in a class of subband transforms, wedoi:10.1109/icip.2004.1419522 dblp:conf/icip/TanakaD04 fatcat:6jv2hgp6mrhj5dglcykkpz7cke