Iterative Algorithms Based on Decoupling of Deblurring and Denoising for Image Restoration

摘要: In this paper, we propose iterative algorithms for solving image restoration problems. The are based on decoupling of deblurring and denoising steps in the process. step, an efficient method using fast transforms can be employed. effective methods such as wavelet shrinkage or total variation used. main advantage proposal is that resulting very produce better restored images visual quality signal-to-noise ratio than those by combination a data-fitting term regularization term. convergence proposed shown paper. Numerical examples also given to demonstrate effectiveness these algorithms.