An algorithm for hybrid regularizers based image restoration with Poisson noise

Title:

An algorithm for hybrid regularizers based image restoration with Poisson noise

Creator:

Pham, Cong Thang and Tran, Thi Thu Thao

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:ed090fe3-0e58-490c-bebc-d797b1c49ef4
uuid:ed090fe3-0e58-490c-bebc-d797b1c49ef4
doi:10.14736/kyb-2021-3-0446

Subject:

total variation, image denoising, image deblurring, and alternating minimization method

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

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.

Language:

English

Rights:

http://creativecommons.org/licenses/by-nc-sa/4.0/
policy:public

Coverage:

446-473

Source:

Kybernetika | 2021 Volume:57 | Number:3

Harvested from:

CDK

Metadata only:

false