Color image coding based on embedded wavelet zerotree and scalar quantization

Author

Brahimi, Zahia ; Saadi, Karima Ait

Author_Institution

Centre de Dev. des Technol. Adv., Baba Hassen, Algeria

Volume

1

fYear

2004

fDate

23-26 Aug. 2004

Firstpage

504

Abstract

With the continuous expansion of multimedia applications and the blossoming demand for efficiently storing and transmitting visual information, the needs and requirements of image compression have become increasingly vital. To address this need in the specific area of still image encoding, a new standard JPEG2000 is being designed. Our paper deals with color image coding using discrete wavelets transform, color embedded zerotree wavelet (CEZW) and combining scalar quantification and adaptive Huffman coding. The results are compared to JPEG2000 performances using the JAVA implementation.

Keywords

Huffman codes; Java; data compression; discrete wavelet transforms; image coding; image colour analysis; trees (mathematics); JAVA; adaptive Huffman coding; color embedded wavelet zerotree; color image coding; discrete wavelets transform; image compression; image encoding; scalar quantization; standard JPEG2000; visual information storing; visual information transmitting; Biomedical imaging; Color; Discrete wavelet transforms; Entropy; Huffman coding; Image coding; Image resolution; Image storage; Quantization; Transform coding;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on

ISSN

1051-4651

Print_ISBN

0-7695-2128-2

Type

conf

DOI

10.1109/ICPR.2004.1334177

Filename

1334177