Comparison of the proposed approach on the same test images with Deep Learning approaches and blur kernels

Comparison of the proposed approach on the same test images with Deep Learning approaches and blur kernels

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The paper focuses on the Enhanced Augmented Lagrangian method with sparse regularization for image deblurring. The method suggested by ALTERNATING LOW RANK AUGMENTED LAGRANGIAN WITH ITERATIVE A PRIOR is novel in the following ways. (i) Faster convergence leading to speeder execution through rank regulations (ii) using derivatives and low rank toget...

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... various current prior-based deblurring approaches also deep learning-based deblurring methods, the planned algorithm is checked for performance and efficiency. Table 1 show that our method outperformed Deep learning-based deblurring algorithms in terms of PSNR and SSIM values. ...

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