Using genetic algorithm to generate optimal codebook for image compression
Author
Source
Journal of Babylon University : Journal of Applied and Pure Sciences
Issue
Vol. 18, Issue 2 (30 Jun. 2010), pp.420-427, 8 p.
Publisher
Publication Date
2010-06-30
Country of Publication
Iraq
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Topics
Abstract AR
تم في هذا البحث اقتراح طريقة جديدة لضغط الصور باستخدام الخوارزمية الجينية لتوليد codebook التي تم بناؤها لتمثيل الصورة.
توضح النتائج أداء الخوارزمية المقترحة باستخدام مقياس نسبة الإشارة إلى الخطأ PSNR.
Abstract EN
In this paper we proposed new method for image compression using vector quantizer.
We use genetic algorithm to generate optimal codebook from group of codebooks to represent the image.
Simulation results are presented to show the superior performance of the proposed method in terms of peak signal-to-noise ratio as design.
American Psychological Association (APA)
Ali, Suhad A.. 2010. Using genetic algorithm to generate optimal codebook for image compression. Journal of Babylon University : Journal of Applied and Pure Sciences،Vol. 18, no. 2, pp.420-427.
https://search.emarefa.net/detail/BIM-287470
Modern Language Association (MLA)
Ali, Suhad A.. Using genetic algorithm to generate optimal codebook for image compression. Journal of Babylon University : Journal of Applied and Pure Sciences Vol. 18, no. 2 (2010), pp.420-427.
https://search.emarefa.net/detail/BIM-287470
American Medical Association (AMA)
Ali, Suhad A.. Using genetic algorithm to generate optimal codebook for image compression. Journal of Babylon University : Journal of Applied and Pure Sciences. 2010. Vol. 18, no. 2, pp.420-427.
https://search.emarefa.net/detail/BIM-287470
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 427
Record ID
BIM-287470
