An algorithm for image restoration with mixed noise using total variation regularization

Authors

CONG THANG PHAM
GUILHEM GAMARD
ANDREI KOPYLOV
THI THU THAO TRAN

DOI

10.3906/elk-1803-100

Abstract

We present here an effective scheme for image denoising based on total variation regularization. The proposed scheme allows to efficiently remove Poisson noise as well as Gaussian noise simultaneously with the help of a new kind of data fidelity term, suitable for the mixed Poisson - Gaussian noise model. The results show that the algorithm corresponding to our new scheme outperforms the existing methods for mixed Poisson - Gaussian noise removal.

Keywords

Image denoising, Gaussian noise, Poisson noise, total variation regularization, mixed noise distribution, gradient flow

First Page

2831

Last Page

2845

Recommended Citation

PHAM, CONG THANG; GAMARD, GUILHEM; KOPYLOV, ANDREI; and TRAN, THI THU THAO (2018) "An algorithm for image restoration with mixed noise using total variation regularization," Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 26: No. 6, Article 5. https://doi.org/10.3906/elk-1803-100
Available at: https://journals.tubitak.gov.tr/elektrik/vol26/iss6/5