Inexact Alternating Direction Method Based on Newton descent algorithm with Application to Poisson Image Deblurring

15 Dec 2014 Dai-Qiang Chen

The recovery of images from the observations that are degraded by a linear operator and further corrupted by Poisson noise is an important task in modern imaging applications such as astronomical and biomedical ones. Gradient-based regularizers involve the popular total variation semi-norm have become standard techniques for Poisson image restoration due to its edge-preserving ability... (read more)

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