A novel ordered-SPIHT for embedded color image coding

Author

Yang, Chun-Ling ; Po, Lai-Man ; Chun-Ho Cheung ; Cheung, Chun-Ho

Author_Institution

Dept. of Electron. Eng., City Univ. of Hong Kong, China

Volume

2

fYear

2003

fDate

14-17 Dec. 2003

Firstpage

1087

Abstract

The magnitude distribution law of DWT coefficients of color image data in Karhunen-Loeve space is investigated. Considering the KLT matrix formed, the magnitude of DWT coefficients in components K/sub 1/, K/sub 2/ and K/sub 3/, in general, have the relation K/sub 1/>K/sub 2/>K/sub 3/ where K/sub 1/, K/sub 2/, K/sub 3/ are the three components of a color image in KL space. Based on this characteristic and other DWT coefficient features, a novel ordered-SPIHT for embedded color image coding (OCSPIHT) is proposed in this paper. The set of DWT coefficients of an image in KL space are split into several sets according to their magnitudes. For each specific threshold, only the sets with coefficients equal to or larger than the threshold will be encoded. This can save many bits and improve coding performance especially at low bit rate.

Keywords

Karhunen-Loeve transforms; discrete wavelet transforms; image coding; image colour analysis; trees (mathematics); Karhunen-Loeve space; Karhunen-Loeve transform matrix; discrete wavelet transform coefficients; embedded color image coding; magnitude distribution law; set partitioning in hierarchical trees; Bit rate; Color; Data engineering; Discrete wavelet transforms; Educational institutions; Image coding; Karhunen-Loeve transforms; Partitioning algorithms; Sorting; Space technology;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on

Conference_Location

Nanjing

Print_ISBN

0-7803-7702-8

Type

conf

DOI

10.1109/ICNNSP.2003.1281058

Filename

1281058