We develop a unified algorithm for performing blind deconvolution of a noisy degraded image. By incorporating a low-pass filter into the asymmetric multiplicative iterative algorithm and extending it to multiframe blind deconvolution, this algorithm accomplishes the blind deconvolution and noise removal concurrently We report numerical experiments of applying the algorithm to the restoration of short-exposure atmosphere turbulence degraded images. These experiments evidently demonstrate that the unified algorithm has both good blind deconvolution performance and high-resolution image restoration. (c) 2009 Optical Society of America
1.Chinese Acad Sci, Inst Opt & Elect, Chengdu 610209, Peoples R China 2.Chinese Acad Sci, Grad Sch, Beijing 100039, Peoples R China 3.Nanjing Univ Sci & Technol, Dept Comp Sci, Nanjing 210096, Peoples R China
Zhang, Jianlin,Zhang, Qiheng,He, Guangming. Blind deconvolution of a noisy degraded image[J]. APPLIED OPTICS,2009,48(12):2350-2355.