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• W2045354372 abstract "Image denoising is an important issue in image preprocessing. Two popular methods to the problem are singular value decomposition (SVD) and wavelet transform. Various denoising algorithms based on these two methods have been independently developed. This paper proposes an approach for image denoising by performing SVD filtering in detail subbands of wavelet domain, where SVD filtering is adaptive to the inhomogeneous nature of natural images. Comparisons were made with respect to both SVD-based filtering methods and wavelet transform-based methods." @default.
• W2045354372 created "2016-06-24" @default.
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• W2045354372 date "2003-08-01" @default.
• W2045354372 modified "2023-10-14" @default.
• W2045354372 title "Adaptive singular value decomposition in wavelet domain for image denoising" @default.
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• W2045354372 doi "https://doi.org/10.1016/s0031-3203(02)00323-0" @default.
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