This article describes a fast iterative algorithm for image denoising and deconvolution with signal-dependent observation noise. We use an optimization strategy based on variable splitting that adapts traditional Gaussian noise-based restoration algorithms to account for the observed image being corrupted by mixed Poisson-Gaussian noise and quantization errors.
@article{arxiv.1204.2994,
title = {Image Restoration with Signal-dependent Camera Noise},
author = {Ayan Chakrabarti and Todd Zickler},
journal= {arXiv preprint arXiv:1204.2994},
year = {2012}
}