DocumentCode :
1989501
Title :
Application of Particle Swarm Optimization for Traveling Salesman Problem to lossless compression of color palette images
Author :
Van Hook, Joshua ; Sahin, Ferat ; Arnavut, Ziya
Author_Institution :
Electr. Eng., Rochester Inst. of Technol., Rochester, NY
fYear :
2008
fDate :
2-4 June 2008
Firstpage :
1
Lastpage :
5
Abstract :
This paper investigates optimal color indexing for the compression of color palette images. This work enhances the recent traveling salesman problem (TSP) based re-indexing technique with particle swarm optimization (PSO). In this work, color re-indexing is done by solving the problem as a TSP using PSO. The proposed technique, yields better compression gains than the recent work that used a cross entropy (CE) based TSP for re-indexing.
Keywords :
data compression; image coding; image colour analysis; particle swarm optimisation; travelling salesman problems; color palette images; color reindexing; compression gain; cross entropy based TSP; lossless compression; optimal color indexing; particle swarm optimization; reindexing technique; traveling salesman problem; Application software; Color; Computer science; Cost function; Entropy; Equations; Image coding; Indexing; Particle swarm optimization; Traveling salesman problems; Color image compression; color re-indexing; particle swarm optimization; traveling salesmen problem;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System of Systems Engineering, 2008. SoSE '08. IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-2172-5
Electronic_ISBN :
978-1-4244-2173-2
Type :
conf
DOI :
10.1109/SYSOSE.2008.4724207
Filename :
4724207
Link To Document :
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