Regularized Image Restoration with Singular Value Decomposition
In order to restore the degraded image caused by atmospheric turbulence, the two-dimensional degradation model is decomposed into a onedimensional degradation model in the horizontal and vertical direction, respectively. First, a new regularizing filter function was proposed and the singular value decomposition is carried out for the fuzzy matrix of the one-dimensional degradation model. For the purpose of averting instability caused by smaller singular values in restoration, each singular value is multiplied by the corresponding new regularizing filter function value, So each degenerate column is restored in the vertical direction, and then the array is restored in the horizontal direction. Simulation shows that the algorithm achieved satisfactory results. By comparison with the recovery results with the truncated and the Tikhonov regularizing filter function, the new regularizing filter function is significantly better than the last two regularizing filter functions in both subjective visual and objective indexes.
image restoration turbulence blur singular value decomposition regularing filter function
Zhang bin Qi ying-jian Ou zhi-wei Jiao yan-li
School of Science, Communication University of China, Beujing China
国际会议
武汉
英文
321-325
2011-10-21（万方平台首次上网日期，不代表论文的发表时间）