DocumentCode
1895842
Title
Image compression with best local cosine bases
Author
Huang, Yi-Pai ; Pollak, Ilya
Author_Institution
Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN
fYear
2005
fDate
17-20 July 2005
Firstpage
905
Lastpage
908
Abstract
We apply the framework of multitree dictionaries introduced in Y. Huang et al. (2005, 2003), to design a novel image coder based on lapped orthogonal bases of local cosines. We show that our image coder outperforms both the quadtree-based approach of F. Meyer (2002) and SPIHT (A. Said and W.A. Pearlman, 1996) for textured images
Keywords
data compression; image coding; tree codes; image coder; image compression; lapped orthogonal; local cosines; multitree dictionaries; Adaptive algorithm; Additives; Cost function; Dictionaries; Engineering profession; Image coding; Search problems; Time frequency analysis; Wavelet packets;
fLanguage
English
Publisher
ieee
Conference_Titel
Statistical Signal Processing, 2005 IEEE/SP 13th Workshop on
Conference_Location
Novosibirsk
Print_ISBN
0-7803-9403-8
Type
conf
DOI
10.1109/SSP.2005.1628722
Filename
1628722
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