2 papers
math.NA2026
A geometry-based deep equilibrium model for image restoration under multiplicative Gamma noise
Shengkun Yang, Luca Ratti, Zhichang Guo
We propose a deep learning framework for image restoration from images degraded by both multiplicative Gamma noise and blur. Unlike conventional deep equilibrium (DEQ) models that…
cs.CV2024
Mixed geometry information regularization for image multiplicative denoising
Shengkun Yang, Zhichang Guo, Jia Li +2
This paper focuses on solving the multiplicative gamma denoising problem via a variation model. Variation-based regularization models have been extensively employed in a variety of…