12 August 2013 Poissonian image reconstruction using alternating direction algorithm
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J. of Electronic Imaging, 22(3), 033007 (2013). doi:10.1117/1.JEI.22.3.033007
Abstract
The total variation-regularization-based scheme for image reconstruction contaminated by Poisson noise is investigated. To quickly obtain the best numerical solution, a fast alternating direction algorithm is addressed and the convergence of the proposed approach is strictly proved. Subsequently, our numerical simulations markedly demonstrate the high efficiency and stability of the new strategy in terms of evaluating the computation speed and especially the quality of the recovered images, compared with some of the current state-of-the-art numerical algorithms.
© 2013 SPIE and IS&T
Xingwu Liu, Lihong Huang, "Poissonian image reconstruction using alternating direction algorithm," Journal of Electronic Imaging 22(3), 033007 (12 August 2013). http://dx.doi.org/10.1117/1.JEI.22.3.033007
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KEYWORDS
Image restoration

Reconstruction algorithms

Expectation maximization algorithms

Image quality

Numerical analysis

Optimization (mathematics)

Algorithms

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