DocumentCode :
965934
Title :
A Novel Approach of Reordering Color Palette for Indexed Image Compression
Author :
Lai, Jim Z C ; Liaw, Yi-Ching
Author_Institution :
Dept. of Comput. Sci. & Eng., Nat. Taiwan Ocean Univ., Keelung
Volume :
14
Issue :
2
fYear :
2007
Firstpage :
117
Lastpage :
120
Abstract :
The compression efficiency of an indexed image depends on the palette ordering. However, obtaining an optimal palette ordering is not an easy task, and approximate solutions are usually sought in practice. Among the available methods, the pairwise merging technique proposed by Memon is the best in terms of compression efficiency. However, this method needs extensive computations. In this letter, a novel algorithm is presented to find an approximate solution of the palette reordering problem. Combined with Pinho´s method, our approach is better than the pairwise merging technique in terms of compression efficiency and computing time
Keywords :
approximation theory; data compression; image coding; image colour analysis; indexing; Pinho´s method; approximate solution; indexed image compression; pairwise merging technique; reordering color palette; Color; Computational complexity; Computational modeling; Computer science; Entropy; Image coding; Indexing; Merging; Pixel; Simulated annealing; Color palette; indexed image; lossless compression; palette reordering;
fLanguage :
English
Journal_Title :
Signal Processing Letters, IEEE
Publisher :
ieee
ISSN :
1070-9908
Type :
jour
DOI :
10.1109/LSP.2006.882106
Filename :
4063359
Link To Document :
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