UGC Approved Journal no 63975(19)

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:
JETIR1906N98


Registration ID:
217469

Page Number

323-332

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Title

ROBUST AUTHENTICATION OF JPEG IMAGES USING DCT BASED WATERMARKING AND GENETIC ALGORITHM

Abstract

One of the most popular formats for image storage is JPEG/JPG. It stands for Joint Photographic Expert Group format. It uses Discrete Cosine Transform over non-overlapping blocks of image pixel matrix for image compression and storage. JPEG provides a high degree of compression as compared to other image formats. In modern scenario, authentication is becoming a prime concern with digital data meant to be distributed over the internet or otherwise. A large number of jpeg images are shared everyday over internet, or other media, with a substantial fraction comprising of those in which authentication is critical. However, due to the advancements in technology and the computing capabilities, it is possible to modify an image for doctored content even with the cheapest commodity computer. This includes medical images, satellite images, surveillance camera images and images related to applications in which authenticity is the prime concern. In this Research Paper, a technique is proposed to authenticate JPEG images using LSB encoding in Discrete Cosine Transform Coefficients of the Group of Blocks (GOB) of the image. The contribution of this research work is two-fold. It suggests a method to embed watermark in JPEG image so that the watermark is compatible to the JPEG compression. Secondly, it uses Genetic Approach so as to maintain the statistical properties of the image so that it is difficult for an attacker to identify through statistical investigation on the pixel values of the images that weather the image is watermarked or not. It turns out that direct embedding of watermarking bit in the DCT coefficients results in considerable distortions in the cover image leading to visible distortion and high Mean Square Error, leading to low PSNR. The selection of GOB and the Coefficients is based on the Genetic Algorithm to yield the best PSNR so as to preserve the quality of the marked image. This work extends the technique proposed by Oh-Jin-Kwon et. al. [1] by making use of the Genetic Algorithm for the selection of coefficients and the GOB blocks. MATLAB is used as the simulation tool and the results obtained are compared with the benchmark techniques to establish the authenticity of the proposed technique.

Key Words

Image Authentication, Watermarking, Discrete Cosine Transform, Genetic Algorithm, PSNR, MSE

Cite This Article

"ROBUST AUTHENTICATION OF JPEG IMAGES USING DCT BASED WATERMARKING AND GENETIC ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.323-332, June 2019, Available :http://www.jetir.org/papers/JETIR1906N98.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

"ROBUST AUTHENTICATION OF JPEG IMAGES USING DCT BASED WATERMARKING AND GENETIC ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp323-332, June 2019, Available at : http://www.jetir.org/papers/JETIR1906N98.pdf

Publication Details

Published Paper ID: JETIR1906N98
Registration ID: 217469
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 323-332
Country: Jaipur, Rajasthan, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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