3 papers
eess.IV2025
Zero-shot Denoising via Neural Compression: Theoretical and algorithmic framework
Ali Zafari, Xi Chen, Shirin Jalali
Zero-shot denoising aims to denoise observations without access to training samples or clean reference images. This setting is particularly relevant in practical imaging scenarios…
eess.IV2025
DeCompress: Denoising via Neural Compression
Ali Zafari, Xi Chen, Shirin Jalali
Learning-based denoising algorithms achieve state-of-the-art performance across various denoising tasks. However, training such models relies on access to large training datasets c…
cs.IT2025
Bayesian Despeckling of Structured Sources
Ali Zafari, Shirin Jalali
Speckle noise is a fundamental challenge in coherent imaging systems, significantly degrading image quality. Over the past decades, numerous despeckling algorithms have been develo…