Image Restoration with Signal-dependent Camera Noise
  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. 
Ayan Chakrabarti and Todd Zickler
cs.CV stat.AP