Hallucination 发表于 2025-3-21 17:23:26

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Deceit 发表于 2025-3-21 22:27:00

alternate minimization for blind deconvolution converges with a quadratic prior..Since the convergence properties depend on the chosen priors, one should design priors that avoid trivial solutions. Hence, a spa978-3-319-35216-9978-3-319-10485-0

哪有黄油 发表于 2025-3-22 03:13:33

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Confess 发表于 2025-3-22 05:24:35

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Nutrient 发表于 2025-3-22 12:40:50

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upstart 发表于 2025-3-22 13:09:18

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江湖郎中 发表于 2025-3-22 18:13:36

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DRAFT 发表于 2025-3-23 00:27:26

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利用 发表于 2025-3-23 02:14:55

MAP Estimation: When Does It Work?,r is to be selected so that the PSF regularization is effective. Our analysis provides a feasible range for the regularization factor without using cross validation techniques. We give an exact lower bound and an approximate upper bound for the PSF regularization factor.

稀释前 发表于 2025-3-23 08:37:21

Convergence Analysis in Fourier Domain,ximation, which makes the system LSI at each iteration – with the system changing with iteration. We note that the resulting system behaves like an adaptive Wiener filter. Once the fixed-point is reached the regularization factors remain constant, and a Fourier domain analysis shows that the fixed-p
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查看完整版本: Titlebook: Blind Image Deconvolution; Methods and Converge Subhasis Chaudhuri,Rajbabu Velmurugan,Renu Ramesha Book 2014 Springer International Publish