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© Research
Publication : IEEE 12th International Symposium on Biomedical Imaging, ISBI

Image denoising by multiple Compressed Sensing reconstructions

Scientific Fields
Diseases
Organisms
Applications
Technique

Published in IEEE 12th International Symposium on Biomedical Imaging, ISBI - 18 Apr 2015

William Meiniel, Yoann Le Montagner, Elsa Angelini, Jean-Christophe Olivo-Marin

10.1109/ISBI.2015.7164096

In this paper, compressed sensing (CS) is investigated as a denoising tool in bioimaging. Multiple reconstructions at low sampling rates are combined to generate high quality denoised images using total-variation spar-sity constraints. The validity of the proposed method is first assessed on a synthetic image with a known ground truth and then applied to real biological images.