Image blind deconvolution is a classic problem in the field of image processing,with the goal of recovering a sharp image from its blurred version without knowing the blur kernel. To meet the requirement for latent image in blind deconvolution,smooth segments counting regularizer is proposed to act as latent image prior,and conditional nonzero elements counting regularizer is used as kernel prior,with the numerical solver derived by using half quadratic splitting technique. Experiments on blurred images sho...
| 
推荐 
点击下列相关研究机构和相关文献作者，可以直接查到这些机构和作者被《中国知识资源总库》收录的其它文献，使您全面了解该机构和该作者的研究动态和历史。
