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\iteman{io-port 06030708}
\itemau{Liu, Xinwu; Huang, Lihong}
\itemti{Total bounded variation-based Poissonian images recovery by split Bregman iteration.}
\itemso{Math. Methods Appl. Sci. 35, No. 5, 520-529 (2012).}
\itemab
Summary: This paper presents a new total bounded variation regularization-based Poissonian images deconvolution scheme. Computationally, an extended split Bregman iteration is described to obtain the optimal solution recursively. Moreover, the rigorous convergence analysis of the proposed algorithm is also expatiated here. Compared with the computational speed and the recovered results of the total variation-based method, numerical simulations definitely demonstrate the competitive performance of the proposed strategy in Poissonian images restoration.
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\itemut{image restoration; total bounded variation; Poisson noise; split Bregman iteration; optimization problem}
\itemli{doi:10.1002/mma.1588}
\end