DocumentCode :
2667379
Title :
Low memory color image zerotree coding
Author :
Lin, Wen-Kuo ; Burgess, Neil
Author_Institution :
Dept. of Electr. & Electron. Eng., Adelaide Univ., SA, Australia
fYear :
1999
fDate :
1999
Firstpage :
91
Lastpage :
95
Abstract :
Said and Pearlman´s set partitioning in hierarchical trees (SPIHT) algorithm (1996) is a well-known and efficient zerotree coding algorithm. However SPIHT´s high memory requirement is a major drawback for hardware implementation. We present a color image coding algorithm which requires much less memory during coding. Consequently the implementation complexity and hardware cost can be reduced significantly. Our experimental results show only a minor reduction of PSNR values when compared with the those obtained by the SPIHT codec illustrating well the trade-off between memory requirement and hardware simplicity
Keywords :
computational complexity; discrete wavelet transforms; image coding; image colour analysis; tree codes; hardware cost; hardware simplicity; implementation complexity; low memory color image zerotree coding; memory requirement; Bit rate; Codecs; Color; Costs; Discrete wavelet transforms; Hardware; Image coding; PSNR; Partitioning algorithms; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information, Decision and Control, 1999. IDC 99. Proceedings. 1999
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-5256-4
Type :
conf
DOI :
10.1109/IDC.1999.754132
Filename :
754132
Link To Document :
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