NDLI: Improved lossless compression of color palette images by re-indexing with particle swarm optimization

Content Provider	IEEE Xplore Digital Library
Author	Van Hook, J. Sahin, F. Arnavut, Z.
Copyright Year	2009
Description	Author affiliation: Electrical Engineering, Rochester Institute of Technology, NY 14623, USA (Van Hook, J.; Sahin, F.) \|\| Computer Science, SUNY Fredonia, NY 14063, USA (Arnavut, Z.)
Abstract	This work builds on previous work in the area of one dimensional lossless color compression. The previous work applied a cross entropy (CE) solution to traveling salesman problem (TSP) for color re-indexing with a Burrows-Wheeler transformation and inversion ranks. The proposed technique replaces the cross entropy based TSP algorithm with a particle swarm optimization (PSO) for the task of color re-indexing. The proposed method yields improvement over the previous work regardless of the number of colors in the image.
Starting Page	1
Ending Page	4
File Size	229047
Page Count	4
File Format	PDF
ISBN	9781424434299
DOI	10.1109/ICSCCW.2009.5379471
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-02
Publisher Place	Cyprus
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Compression Optimization methods Color Traveling salesman problems Entropy Particle swarm optimization Equations Compression algorithms Genetic algorithms Computer science Image coding Palette Images Re-indexing Particle Swarm Optimization
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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Improved lossless compression of color palette images by re-indexing with particle swarm optimization