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    • ISSN: 1793-8201 (Print), 2972-4511 (Online)
    • Abbreviated Title: Int. J. Comput. Theory Eng.
    • Frequency: Quarterly
    • DOI: 10.7763/IJCTE
    • Editor-in-Chief: Prof. Mehmet Sahinoglu
    • Associate Editor-in-Chief: Assoc. Prof. Alberto Arteta, Assoc. Prof. Engin Maşazade
    • Managing Editor: Ms. Cecilia Xie
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    • Average Days from Submission to Acceptance: 192 days
    • APC: 800 USD
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IJCTE 2021 Vol.13(2): 29-34 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2021.V13.1286

The Compression of Fractal Color Image by YPbPr Color Space Using Zero-Mean Method

Eman A. Al-Hilo and Abbas F. Al-Rufaee

Abstract—This paper introduces an improvement on zero-mean fractal color image compression techniques, using the YPbPr color space. The twocolor images (Lena and Parrot) were used to test the best PSNR, CR, ET, by fractal image coding by Zero-Mean method. In Lena image the calculated results were found to be (PSNR=30.99), (CR=10.52), (ET=63.68), while in Parrot image is (PSNR=29.59), (CR=10.52), (ET=47.44).

Index Terms—Component, YPbPr color space, TV color space, zero-mean method, image compression.

Eman AL Hilo is with Physics Department, Facility of Education for Girls, Kufa University, Iraq (e-mail: emana.alhilo@uokufa.edu.iq). Abbas F. Al-Rufaee is with Physics Department, College of Science, Kufa University, Iraq (e-mail: abbasalrufaee@uokufa.edu.iq).

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Cite:Eman A. Al-Hilo and Abbas F. Al-Rufaee, "The Compression of Fractal Color Image by YPbPr Color Space Using Zero-Mean Method," International Journal of Computer Theory and Engineering vol. 13, no. 2, pp. 29-34, 2021.

Copyright © 2021 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).


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