Image Deblurring Based on Convex Non-Convex Sparse Regularization and Plug-and-Play Algorithm
Yi Wang,
Yating Xu,
Tianjian Li
et al.
Abstract:Image deblurring based on sparse regularization has garnered significant attention, but there are still certain limitations that need to be addressed. For instance, convex sparse regularization tends to exhibit biased estimation, which can adversely impact the deblurring performance, while non-convex sparse regularization poses challenges in terms of solving techniques. Furthermore, the performance of the traditional iterative algorithm also needs to be improved. In this paper, we propose an image deblurring m… Show more
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