Image Deconvolution Under Poisson Noise Using Sparse Representations and Proximal Thresholding Iteration

François-Xavier Dupé, Jalal Fadili, Jean Luc Starck

We propose an image deconvolution algorithm when the data is contaminated by Poisson noise. The image to restore is assumed to be sparsely represented in a dictionary of waveforms…