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Multi-frame Blind Deconvolution with Non Local Total Variation Regularization

机译:具有非局部总变化正则化的多帧盲反卷积

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We consider the recovery of multi-frame degraded images without complete knowledge about the degradation. A variational method is applied to simultaneously reconstruct the original image and the associated PSFs. In order to alleviate the concerns of noise amplification while preserving sharp edges and fine structures, nonlocal total variation regularization is used on images. An efficient numerical scheme is proposed to solve the variational problem. Numerical results are used to show the performance of the proposed method.
机译:我们考虑恢复多帧降级图像,而无需完全了解降级。应用变分方法来同时重建原始图像和关联的PSF。为了减轻噪声放大的影响,同时保留尖锐的边缘和精细的结构,在图像上使用了非局部总变化正则化。提出了一种有效的数值方案来解决变分问题。数值结果表明了该方法的有效性。

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