title: Blind deconvolution of a noisy degraded image.
abstract: 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.
authors.affiliation: Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China. jlin.zhang@gmail.com
authors.forename: Jianlin
authors.initials: J
authors.lastname: Zhang
authors.forename: Qiheng
authors.initials: Q
authors.lastname: Zhang
authors.forename: Guangming
authors.initials: G
authors.lastname: He