Digital Watermarking: Digital Data Hiding techniques for BMP Images

Dr. Tripat Deep Singh Dua

Digital Watermarking: Digital Data Hiding techniques for BMP Images

Dr. Tripat Deep Singh Dua * §

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Digital Watermarking: Digital Data Hiding techniques for BMP Images

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Abstract

This research evaluates the digital watermarking technology further for hide/retrieved data into the BMP file by manipulating the contents their pixel value using least significant bits (LSB) approach. Methodology: Various experiments have been applied on the pixel value of the BMP file to hide/store the maximum data. With a condition the size and the quality of the BMP file will not change. The trail and error methods have been used or applied to check the various sizes with various qualities. Findings: The study finds that the any digital data can be hiding into the BMP file by manipulating the contents of the Red Green Blue (RGB) value by applying least significant approach. Originality/Value: Due to the growing usage of multimedia content on the internet, serious issues have emerged. Counterfeiting, forgery fraud and pirating of this content are rising. The research is a mechanism which can help resolve the ownership issues for digital data.

References

12 Cites in Article

Reference Format

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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

Dr. Tripat Deep Singh Dua. 1970. "Digital Watermarking: Digital Data Hiding techniques for BMP Images". Global Journal of Computer Science and Technology GJCST Volume 12 (GJCST Volume 12 Issue 1).

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GJCST Volume 12 Issue 1

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

24 bit BMP Image Copy right Digital Data Digital watermarking Least Significant Bit (LSB)lower order bits Red Green Blue (RGB) pixel Value Tra

Classification

GJCST Classification D.2.11

Submission ReceivedApril 14, 2012
Peer Review Double Blind
Handling Editor
Accepted May 2, 2012
Published January 15, 2012

Version of record

v1.2

Issue date

January 15, 2012

Language

English

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Article Matrices

Total Score: 146

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Dr. Tripat Deep Singh Dua (PhD/Dr. count: 1)

View Count (all-time): 359

Total Views (Real + Logic): 4985

Total Downloads (simulated): 434

Publish Date: 2012 05, Tue

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Total Views: 5K

Total Downloads: 434

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