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Overcomplete Wavelets for Compressed Sensing
Published 11 Sep 2019 in eess.IV | (1909.04888v1)
Abstract: Compressed sensing (CS) using overcomplete wavelet dictionaries has been a well-investigated topic in the recent times for image and vision applications. In this paper, different overcomplete wavelet transforms have been studied to estimate the best transform. Performance evaluations are carried out for different overcomplete wavelet transforms from highly undersampled and inaccurate measurements for the recovery of images in frequency as well as physical domains.
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