AN ALGORITHM FOR HYBRID REGULARIZERS BASED IMAGE RESTORATION WITH POISSON NOISE

摘要

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.