Multi-image Blind Deblurring Using a Coupled Adaptive Sparse Prior

CVPR 2013 Haichao ZhangDavid WipfYanning Zhang

This paper presents a robust algorithm for estimating a single latent sharp image given multiple blurry and/or noisy observations. The underlying multi-image blind deconvolution problem is solved by linking all of the observations together via a Bayesian-inspired penalty function which couples the unknown latent image, blur kernels, and noise levels together in a unique way... (read more)

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