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

Image denoising by multiple Compressed Sensing reconstructions

Team: Biological Image Analysis
Member: Jean-Christophe Olivo-Marin
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.