A new approch in fractal image compression based on honey bee mating optimization and quadtreetion

Authors:
Elham Afarandeh;Mahdi Yaghoobi
Affiliations:
Computer Department, Islamic Azad University, Mashhad, Iran;Computer Department, Islamic Azad University, Mashhad, Iran
Venue:
DNCOCO'10 Proceedings of the 9th WSEAS international conference on Data networks, communications, computers
Year:
2010

Citing 3
Cited 0

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Abstract

Fractal image encoding is attractive due to its potential high compression ratio, fast decompression and multi-resolution properties. this paper try to present a new technique which improves fractal image compression through the use of quadtreetion scheme and novel local search with honey bee mating optimization to improve the compression ratio, encoding speed and reduce the storage space while the quality of retrieved image is preserved. Experimental results on standard grayscale images (256×256, 8bit) show that the proposed method yields superior performance over conventional fractal encoding.