Blind Image Deconvolution through Support Vector Regression
Li, Dalong; Mersereau, Russell M.; Simske, Steven
External - Copyright Consideration
Keyword(s): blind deconvolution; Lucy-Richardson (LR) algorithm; peak signal-to-noise ratio (PSNR); support vector regression (SVR)
Abstract: This letter introduces a new algorithm for the restoration of a noisy blurred image based on support vector regression (SVR). Experiments show that the performance of SVR is very robust in blind image deconvolution where the types of blurs, point spread function (PSF) support, and noise level are all unknown. Publication Info: Copyright IEEE. Published in IEEE Transactions on Neural Networks, March, 2007.
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