Optimal joint decoding/deblurring method for optical images

Imaging systems involves blur and the coder reduces the binary rate for transmission or storage. These operations remove pertinent information contained by the image, and introduce annoying artifacts. Removing these artifacts allows higher visual quality for the reconstructed data. Unlike usual techniques, which made separately decoding and post-processing, we propose an optimal joint decoding/deblurring method for image reconstruction The goal of this work is to overcome the introduction of these negative effects by taking into account all the acquisition chain model