An efficient parallel processing approach to fractal image compression

Xiaohong Xie; Rongteng Wu

doi:10.1117/12.871822

9 November 2010 An efficient parallel processing approach to fractal image compression

Xiaohong Xie, Rongteng Wu

Proceedings Volume 7850, Optoelectronic Imaging and Multimedia Technology; 785009 (2010) https://doi.org/10.1117/12.871822
Event: Photonics Asia 2010, 2010, Beijing, China

Abstract

Time complexity is one of the biggest problems for fractal image compression algorithm which can bring about high compression ratio. However, there is inherently data parallelism for fractal image compression algorithm. Naturally, parallel computation scheme would be used to deal with it. This paper uses "equal division load" balancing algorithm to design parallel fractal coding algorithm and implement the fractal image compression. "Equal division load" balancing algorithm distributes computation tasks to all processors equally. Load in every node is divided into smaller tasks based on all power of nodes on network, and then these smaller tasks are sent to corresponding nodes to balance the load among nodes. Analysis shows that the algorithm greatly reduces the component task execution time.

Citation Download Citation

Xiaohong Xie and Rongteng Wu "An efficient parallel processing approach to fractal image compression", Proc. SPIE 7850, Optoelectronic Imaging and Multimedia Technology, 785009 (9 November 2010); https://doi.org/10.1117/12.871822

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available