期刊名称：Signal & Image Processing : An International Journal (SIPIJ)
印刷版ISSN：2229-3922
电子版ISSN：0976-710X
出版年度：2014
卷号：5
期号：2
页码：63
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Many improvements on image enhancemen have been achieved by The Non-negativity And Supportconstraints Recursive Inverse Filtering (NAS-RIF) algorithm. The Deterministic constraints such as nonnegativity, known finite support, and existence of blur invariant edges are given for the true image. NASRIFalgorithms iterative and simultaneously estimate the pixels of the true image and the Point SpreadFunction (PSF) based on conjugate gradients method. NAS-RIF algorithm doesn’t assume parametricmodels for either the image or the blur, so we update the parameters of conjugate gradient method and theobjective function for improving the minimization of the cost function and the time for execution. Wepropose a different version of linear and nonlinear conjugate gradient methods to obtain the better resultsof image restoration with high PSNR.
关键词：blurred image; NAS-RIF algorithm; Image restoration; Point Spread Function (PSF); Conjugate Gradient;(CG) and Peak Signal to Noise Ratio (PSNR).
