Digital Color Image Watermarking using  DWT-DCT Coefficients in RGB Planes

Digital Color Image Watermarking using DWT-DCT Coefficients in RGB Planes

Prof E.Sreenivasa Reddy

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K.Chaitanya

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K.Gangadhara Rao

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Acharya Nagarjuna University

Digital Color Image Watermarking using DWT-DCT Coefficients in RGB Planes

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Abstract

Digital image watermarking is used to identify the authenticity and integrity and to show the identity of its owners. This paper presents a more secure method for copy right protection. In the proposed method, the color image is decomposed into 3 color channels Red, Green and Blue and then DWT and DCT are applied to B channel of the R, G and B channels. The colored Watermark image is decomposed into R, G, B channels and DCT is applied to all the channels separately. R, G, B channels of watermark image are embedded into mid frequency coefficients of B channel already selected. The performance of proposed algorithm is measured by using Mean Square Error, Peak Signal to Noise Ratio, Standardized Correlation and Normalized Correlation. A comparative study of proposed scheme with the existing methods which uses DWT-DCT transforms is carried here and results shown.

References

26 Cites in Article

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Prof E.Sreenivasa Reddy. 2013. \u201cDigital Color Image Watermarking using DWT-DCT Coefficients in RGB Planes\u201d. Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 13 (GJCST Volume 13 Issue F5).

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GJCST Volume 13 Issue F5

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Discrete Cosine Transform (DCT)discrete wavelet transformation (DWT)normalized correlation (NC)Peak Signal to Noise Ratio (PSNR)

Submission ReceivedDecember 15, 2012
Peer Review Double Blind
Handling Editor
Accepted December 31, 2012
Published January 15, 2013

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v1.2

Issue date

June 29, 2013

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Article Matrices

Total Score: 103

Country: India

Subject: Global Journal of Computer Science and Technology - F: Graphics & Vision

Authors: K.Chaitanya, E. Sreenivasa Reddy, K.Gangadhara Rao (PhD/Dr. count: 0)

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Total Views: 9561

Total Downloads: 2530

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