학술논문
Weighted Anisotropic–Isotropic Total Variation for Poisson Denoising
Document Type
Conference
Author
Source
2023 IEEE International Conference on Image Processing (ICIP) Image Processing (ICIP), 2023 IEEE International Conference on. :1020-1024 Oct, 2023
Subject
Language
Abstract
Poisson noise commonly occurs in images captured by photon-limited imaging systems such as in astronomy and medicine. As the distribution of Poisson noise depends on the pixel intensity value, noise levels vary from pixels to pixels. Hence, denoising a Poisson-corrupted image while preserving important details can be challenging. In this paper, we propose a Poisson denoising model by incorporating the weighted anisotropic–isotropic total variation (AITV) as a regularization. We then develop an alternating direction method of multipliers with a combination of a proximal operator for an efficient implementation. Lastly, numerical experiments demonstrate that our algorithm outperforms other Poisson denoising methods in terms of image quality and computational efficiency.