Non-blind-and-Blind-Deconvolution-under-Poisson-noise

Non-blind and Blind Deconvolution under Poisson noise via Fractional-order Total Variation

====================================================================== REFERENCE:

Chowdhury, M. R. and Qin, J. and Lou, Y.; Non-blind and Blind Deconvolution under Poisson Noise using Fractional-order Total Variation, Journal of Mathematical Imaging and Vision, 2020

====================================================================== SOFTWARE

SOFTWARE REVISION DATE:

   July 2020

SOFTWARE LANGUAGE:

   MATLAB R2019b

====================================================================== PACKAGE

The directory contains the following files

README : This file demo_NB.m : example of how to use the FOTV deblurring method (non-blind) demo_blind.m : example of how to use the FOTV blind deconvolution demo_blind_vs_NB : non-blind Vs blind as Fig.6 and Fig.7 in the paper

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data : This folder contains two test images.

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utilities : This folder contains the following functions. FOTVDeblur_NB.m : function implementing the FOTV deblurring method (non-blind) FOTV_deconv_blind : function implementing the FOTV deblurring method (blind) EM_Blind_Deconv : function implementing the EM deblurring method (blind) defDDt.m : function of fractional derivatives conv2fft : function of convolution to have a valid boundary (by P. Favaro) PSNR.m : function of Peak signal-to-noise ratio

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If you have any questions, feel free to email at mujib.chowdhury@utdallas.edu or mrc.firoj@gmail.com