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ICASSP
2009
IEEE

A wavelet-based quadratic extension method for image deconvolution in the presence of poisson noise

10 years 4 months ago
A wavelet-based quadratic extension method for image deconvolution in the presence of poisson noise
Iterative optimization algorithms such as the forward-backward and Douglas-Rachford algorithms have recently gained much popularity since they provide efficient solutions to a wide class of non-smooth convex minimization problems arising in signal/image recovery. However, when images are degraded by a convolution operator and a Poisson noise, a particular attention must be paid to the associated minimization problem. To solve it, we propose a new optimization method which consists of two nested iterative steps. The effectiveness of the proposed method is demonstrated via numerical comparisons.
Nelly Pustelnik, Caroline Chaux, Jean-Christophe P
Added 21 May 2010
Updated 21 May 2010
Type Conference
Year 2009
Where ICASSP
Authors Nelly Pustelnik, Caroline Chaux, Jean-Christophe Pesquet
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