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A non–convex total generalized variation model for image denoising

Cong Thang Pham, Thi Thu Thao Tran, Hoai Phuong Dang, Van Ha Mai
We propose an effective regularization model based
on second–order total generalized variation for image
restoration with mixed Poisson–Gaussian noise. An efficient
alternating minimization algorithm is employed to solve the considered model. Finally, provided numerical results show that our proposed model can preserve more details and get higher image visual quality than recent state-of-the-art methods.
CYBERNETICS AND PHYSICS, VOL. 12, NO. 1, 2023, 70–81
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