English

Overcomplete Wavelets for Compressed Sensing

Image and Video Processing 2019-09-12 v1
Authors: Bhabesh Deka
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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.

Keywords

compressive sensing and sparse reconstruction image reconstruction

Cite

@article{arxiv.1909.04888,
  title  = {Overcomplete Wavelets for Compressed Sensing},
  author = {Bhabesh Deka},
  journal= {arXiv preprint arXiv:1909.04888},
  year   = {2019}
}

Comments

9 pages Submitted to Springer LNCS proceedings

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