Extensible JPEG2000 image compression systems

Author

Yang, Guoan ; Zheng, Nanning ; Li, Cuihua ; Guo, Shugang

Author_Institution

Inst. of Artificial Intelligence & Robotics, Xi´´an Jiaotong Univ.

fYear

2005

fDate

14-17 Dec. 2005

Firstpage

1376

Lastpage

1380

Abstract

The purpose of this paper is to presents an approach to extend the functionality and the application fields of the JPEG2000 image coding systems by choosing various wavelet kernels such as CDF 9/7, LT 5/3, BT 7/5a, BT 7/5b, standard 7/5, Antonini 7/5, LS 9/7 etc. This paper gives a general procedure for extending the JPEG2000 coding system by using 7/5 wavelet which includes 7/5 wavelet lifting scheme, quantization algorithm, EBCOT coding and their optimization design. Experimental results show that the compression performances of the extensible image coding system for various image properties, and various needs and requirements of the image compression are always excellent by choosing appropriate wavelet kernel. The image compression performances of the 7/5 wavelet kernel in extended JPEG2000 coding system very close to CDF9/7 wavelet kernel, and 7/5 wavelet filter have rational coefficients, so that reduces computational complexity and are suitable for implementation via VLSI than CDF 9/7 wavelet kernel

Keywords

data compression; filtering theory; image coding; wavelet transforms; computational complexity; extensible JPEG2000 image compression systems; image coding systems; image properties; optimization design; quantization algorithm; wavelet filter; wavelet kernel; wavelet lifting scheme; Algorithm design and analysis; Artificial intelligence; Design optimization; Discrete wavelet transforms; Image coding; Intelligent robots; Kernel; Low pass filters; Quantization; Transform coding; DWT; JPEG2000 image compression systems; lifting scheme; quantization algorithm; wavelets filters;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Technology, 2005. ICIT 2005. IEEE International Conference on

Conference_Location

Hong Kong

Print_ISBN

0-7803-9484-4

Type

conf

DOI

10.1109/ICIT.2005.1600850

Filename

1600850