UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 5 Issue 7
July-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1807936


Registration ID:
184562

Page Number

269-279

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Title

Compressed Sensing based Secret Image Sharing Scheme with Minimum Number of Shares and Shadow Size

Abstract

In all the secret sharing schemes the total data of the secret is to be processed and if some of the information is lost then the secret cannot be revealed. The algorithm execution time also increased such that there is a burden to the network transmission. This can be overcome by using compressed sensing technique and extended this to use of minimum number of shares and shadow size Compressed sensing technology measures the original image perceptually through a proper measurement matrix and the measured data covers the vast majority of the useful information of the original image. By using traditional secret image sharing the image is divided into ‘n’ shadow images and by using any ‘r’ shadow images we can reconstruct the original image. Less than ‘r’ the secret cannot be revealed. Here we combine the traditional secret image sharing with compressed sensing technology where only 25% of the shares has been used for reconstructing the image in contrast to that of previous threshold schemes where more than or equal to 50% shares has been used and also reduced the size of shadow image by increasing the threshold value in contrast to previous method. The experimental results reveal that the size of shadow images is reduced to 154 X 128 has reduced to 154 X 64 under the compression ratio 0.6.

Key Words

Compressed Sensing, Secret Image Sharing, Measurement Matrix, Wavelets.

Cite This Article

"Compressed Sensing based Secret Image Sharing Scheme with Minimum Number of Shares and Shadow Size", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.269-279, July-2018, Available :http://www.jetir.org/papers/JETIR1807936.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Compressed Sensing based Secret Image Sharing Scheme with Minimum Number of Shares and Shadow Size", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp269-279, July-2018, Available at : http://www.jetir.org/papers/JETIR1807936.pdf

Publication Details

Published Paper ID: JETIR1807936
Registration ID: 184562
Published In: Volume 5 | Issue 7 | Year July-2018
DOI (Digital Object Identifier):
Page No: 269-279
Country: Tirupathi, Andhra Pradesh, India .
Area: Engineering
ISSN Number: 2349-5162


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