JETIREXPLORE- Search Thousands of research papers



Published in:

Volume 5 Issue 4
April-2018
eISSN: 2349-5162

Unique Identifier

JETIR1804042

Page Number

206-210

Share This Article


Title

Ripplet Transform Based Compressive Sensing For Images

ISSN

2349-5162

Cite This Article

"Ripplet Transform Based Compressive Sensing For Images", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 4, page no.206-210, April-2018, Available :http://www.jetir.org/papers/JETIR1804042.pdf

Abstract

Compressive sensing is an emerging field of research which allows simultaneous sampling and compression of signals at a rate below the Nyquist rate by exploiting sparsity of signals. Ripplet transform is a higher dimensional generalization of curvelet transform designed to represent images, allows optimal sparse representation of objects with singularities along the smooth curves. In this paper we have implemented the application of ripplet transform in compressive sensing of images which proves to offer better results than the current state of art techniques using curvelet transform. Here the regularization term used for the reconstruction encompasses both local similarity and nonlocal self similarity priors, which further improves the performance. We have presented the experimental results and the comparison with the implementation using curvelet transform.

Key Words

Ripplet transform, Compressive sensing, Nonlocal Statistical similarity, sparsity, joint adaptive sparsity regularizer

Cite This Article

"Ripplet Transform Based Compressive Sensing For Images", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 4, page no. pp206-210, April-2018, Available at : http://www.jetir.org/papers/JETIR1804042.pdf

Publication Details

Published Paper ID: JETIR1804042
Registration ID: 180967
Published In: Volume 5 | Issue 4 | Year April-2018
DOI (Digital Object Identifier):
Page No: 206-210
ISSN Number: 2349-5162

Download Paper

Preview Article

Download Paper




Cite This Article

"Ripplet Transform Based Compressive Sensing For Images", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 4, page no. pp206-210, April-2018, Available at : http://www.jetir.org/papers/JETIR1804042.pdf




Preview This Article


Downlaod

Click here for Article Preview