Asymmetric Multiframe Blind Restoration for Adaptive Optics Images via Alternating Recursion
Blind Restoration of adaptive optics images is important in the field of astronomical imaging and space object surveillance.Using multiframe blind deconvolution as main technique means for high resolution restoration,a general cost function is deduced to deconvolve Poisson noise model image under the Bayesian-MAP estimate framework.To minimize the cost function,a solution algorithm based on alternating recursion method is proposed.In addition,asymmetric iteration method is introduced into solution process to avoid converging to local minima and maintain robustness of restored image.Experimental results show that the proposed method can recover high quality image from turbulence degraded images effectively and alleviate the negative influence of noise on the restoration result.
Image restoration Blind deconvolution MAP Alternating recursion Adaptive optics images
Afeng YANG Jianfei WU Min LU Shuhua TENG Jixiang SUN
School of Electronic Science and Engineering,National University of Defense Technology
国际会议
西安
英文
177-184
2013-09-14（万方平台首次上网日期，不代表论文的发表时间）