DocumentCode :
324011
Title :
Directional zerotrees image coding
Author :
Areekul, Vutipong ; Bamberger, Roberto H.
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USA
Volume :
1
fYear :
1997
fDate :
2-5 Nov. 1997
Firstpage :
684
Abstract :
This paper investigates new zerotree structures for image compression. The objective of this research is to make the tree structures flexible enough to fit themselves to any significant coefficients within image subbands. In this fashion, a higher compression ratio can be achieved. The approach discussed utilizes predetermined tree structures corresponding to the natural directionality of the separable wavelet transformation. Without increasing the coder´s complexity and side rate, the set partitioning in a hierarchical trees (SPIHT) codec proposed by Said and Pearlman (see IEEE Transactions on Circuits and Systems for Video Technology, vol.6, no.3, p.243-50, 1996) is modified for testing these structures. The results demonstrate some significant improvement especially for highly horizontal and vertical texture images.
Keywords :
codecs; computational complexity; image coding; image texture; transform coding; trees (mathematics); wavelet transforms; SPIHT codec; coefficients; complexity; compression ratio; directional zerotrees image coding; horizontal texture images; image compression; image subbands; separable wavelet transformation; set partitioning in hierarchical trees; side rat; vertical texture images; zerotree structures; Codecs; Computer science; Educational institutions; Energy capture; Image coding; Power engineering and energy; Shape; Strips; Testing; Tree data structures;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems & Computers, 1997. Conference Record of the Thirty-First Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
ISSN :
1058-6393
Print_ISBN :
0-8186-8316-3
Type :
conf
DOI :
10.1109/ACSSC.1997.680532
Filename :
680532
Link To Document :
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