ADAPTIVE-SIZE BLOCK TRANSFORMS FOR POISSONIAN IMAGE DEBLURRING
Alessandro Foi, Sakari Alenius, Vladimir Y. Katkovnik · 2011
A novel deconvolution technique for blurred observations corrupted by signal-dependent noise is presented. Deblurring is performed with a transform-domain inverse-filtering applied locally, on a sliding block of adaptively-selected pointwise varying size. Simulation results demonstrate a good quality of the proposed method, which is versatile and which can be easily combined with other transform-domain processing.