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Compressed Sensing Image Reconstruction Using Efficient Algorithm

Published in Zenodo (CERN European Organization for Nuclear Research) • May 1, 2023
NobleIDNI6P05W00R78S36
Authors:
M Sathya.
,
G Gopperumdevi.

Abstract

Compressed sensing is a new information sampling theory and it’s done for acquiring sparse (or) compressible data with much fewer measurements. This is particularly important for some imaging applications such as magnetic resonance image or in astronomy. In many practical situations, the noise behav...

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