Publication details
Multichannel blind iterative image restoration
Journal Article
serial: IEEE Transactions on Image Processing vol.12, 9 (2003), p. 1094-1106
research: CEZ:AV0Z1075907
project(s): GA102/00/1711, GA ČR
keywords: conjugate gradient, half-quadratic regularization, multichannel blind deconvolution
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abstract (eng):
Very recently, an eigenvector-based method (EVAM) was proposed for a multichannel framework. We propose a novel iterative algorithm based on recent anisotropic denoising techniques of total variation and a Mumford-Shah functional with the EVAM restoration condition included. The algorithm performs well even on very noisy images and does not require an exact estimation of mask orders. We demonstrate capabilities of the algorithm on synthetic data, defocused images and on astronomical data.
Cosati: 09K
RIV: BD