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