UGC Approved Journal no 63975

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

Volume 6 Issue 6
June-2019
eISSN: 2349-5162

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

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Published Paper ID:
JETIRDC06005


Registration ID:
221153

Page Number

30-33

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Title

JPEG DECOMPRESSION USING BAYESIAN MAP APPROACH WITH SECURITY

Abstract

JPEG decompression can be considered as a image reconstruction problem. Standard decompression of JPEG images produces disturbing checkboard pattern and also artifacts along edges. Such problems can be reduced by formulating decompression as an image reconstruction problem using Bayesian maximum a posteriori probability by iterative optimization algorithms. In this type of problem, the prior knowledge about an image is usually given by L1 norm of learned frame prior. Solution of the problem can be achieved very efficiently using alternating direction method of multipliers as iterative optimization algorithm. The proposed robust method of using Bayesian approach on transform matrix compression algorithm restores images very efficiently even for small image size without disturbing JPEG artifacts. In addition to this, for security an algorithm is presented for lossless image encryption using a private key, with variable bit wise rotation image encryption. This is resistance to any statistical related attacks and also fast and efficient for large amount of data. The quality of reconstruction by this approach is shown both visually and interms of SNR.

Key Words

ADMM, artifacts, bayesian MAP , image processing, JPEG.

Cite This Article

"JPEG DECOMPRESSION USING BAYESIAN MAP APPROACH WITH SECURITY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.30-33, June 2019, Available :http://www.jetir.org/papers/JETIRDC06005.pdf

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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

"JPEG DECOMPRESSION USING BAYESIAN MAP APPROACH WITH SECURITY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp30-33, June 2019, Available at : http://www.jetir.org/papers/JETIRDC06005.pdf

Publication Details

Published Paper ID: JETIRDC06005
Registration ID: 221153
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 30-33
Country: Chennai, Tamil Nadu, India .
Area: Engineering
ISSN Number: 2349-5162


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