Geodesic
An algorithm for hybrid regularizers based image restoration with Poisson noise
Kybernetika, Tome 57 (2021) no. 3, pp. 446-473

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In this paper, a hybrid regularizers model for Poissonian image restoration is introduced. We study existence and uniqueness of minimizer for this model. To solve the resulting minimization problem, we employ the alternating minimization method with rigorous convergence guarantee. Numerical results demonstrate the efficiency and stability of the proposed method for suppressing Poisson noise.
DOI : 10.14736/kyb-2021-3-0446
Classification : 35A15, 94A08
Keywords: total variation; image denoising; image deblurring; alternating minimization method 
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     title = {An algorithm for hybrid regularizers based image restoration with {Poisson} noise},
     journal = {Kybernetika},
     pages = {446--473},
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     language = {en},
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Pham, Cong Thang; Tran, Thi Thu Thao. An algorithm for hybrid regularizers based image restoration with Poisson noise. Kybernetika, Tome 57 (2021) no. 3, pp. 446-473. doi: 10.14736/kyb-2021-3-0446

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