Novel Color Image Compression Algorithm Based-On Quadtree

Dr. A. A. El-Harby; G. M. Behery

Novel Color Image Compression Algorithm Based-On Quadtree

Dr. A. A. El-Harby * §

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G. M. Behery

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§ Damietta University

Novel Color Image Compression Algorithm Based-On Quadtree

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Abstract

This paper presents a novel algorithm having two image processing systems that have the ability to compress the colour image. The proposed systems divides the colour image into RGB components, each component is selected to be divided. The division processes of the component into blocks are based on quad tree method. For each selection, the other two components are divided using the same blocks coordinates of the selected divided component. In the first system, every block has three minimum values and three difference values. While the other system, every block has three minimum values and one average difference. From experiments, it is found that the division according to the G component is the best giving good visual quality of the compressed images with appropriate compression ratios. It is also noticed, the performance of the second system is better than the first one. The obtained compression ratios ofthe second system are between 1.3379 and 5.0495 at threshold value 0.1, and between 2.3476 and 8.9713 at threshold value 0.2.

References

31 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

Dr. El-Harby, G. Behery. 2012. "Novel Color Image Compression Algorithm Based-On Quadtree". Global Journal of Computer Science and Technology, Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 12 (GJCST Volume 12 Issue F13).

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GJCST Volume 12 Issue F13

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

algorithm components systems

Classification

GJCST-F Classification I.4.2

Submission ReceivedFebruary 13, 2012
Peer Review Double Blind
Handling Editor
Accepted February 29, 2012
Published March 15, 2012

Version of record

v1.2

Issue date

October 22, 2012

Language

English

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Article Matrices

Total Score: 167

Country: Saudi Arabia

Subject: Global Journal of Computer Science and Technology

Authors: Dr. A. A. El-Harby, G. M. Behery (PhD/Dr. count: 1)

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Publish Date: 2012 03, Thu

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