Short Description
Image denoising based on fusing multiple Compressed Sensing (CS) reconstructions, taking advantage of the robustness of CS in the presence of noise via regularized reconstructions and the properties of the Fourier transform of bioimages. Multiple reconstructions at low sampling rates are combined to generate high quality denoised images using several sparsity constraints.
This plugin use the Matlab function caller plugin to work so you need to have MATLAB installed on your system and have Matlab function caller plugin properly configured.
W. Meiniel, E. Angelini and J.-C. Olivo-Marin. “Image denoising by adaptive compressed sensing reconstructions and fusions”, in Proc. SPIE 9597, September 2015.: https://spie.org/Publications/Proceedings/Paper/10.1117/12.2188648
IMAGE DENOISING BY ADAPTIVE COMPRESSED SENSING RECONSTRUCTIONS AND FUSIONS, W. Meiniel, E. Angelini and J.-C. Olivo-Marin: http://biblio.telecom-paristech.fr/cgi-bin/download.cgi?id=15927
Source code: https://gitlab.pasteur.fr/bia/cs-denoising
