Image Restoration with Signal-dependent Camera Noise
arXiv:1204.2994
Abstract
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.
6 pages, 3 figures, 2 tables