Title :
An Image Retrieval Method Based on Tree-Structured Wavelet Transform
Author :
Liu, Dongbo ; Liu, Guorong ; Yu, Miaohua ; Wang, Yingxu
Abstract :
In this paper, the investigation on using the proposed ZTE wavelet based compression algorithm for the image retrieval system is presented. The proposed algorithm transform an image into multi-layer bitstream, the base layer and enhancement layer bitstreams. Then the multi-layer bitstream is coded with the improved adaptive binary arithmetic by changed the length of the interval of the symbols. The experimental results show that the proposed algorithm outperforms the Embedded Zerotree Wavelets algorithm, in compression efficiency. On the other hand, the base layer and enhancement layer bitstreams, it provides superior benefits to the retrieval system compared to other compression methods. Moreover, the enhancement layer bitstream also allows fast transmission that enhances the performance of retrieval systems.
Keywords :
data compression; image coding; image enhancement; image retrieval; indexing; trees (mathematics); wavelet transforms; ZTE coder; ZTE wavelet based compression algorithm; adaptive binary arithmetic; image enhancement; image indexing; image retrieval method; multilayer bitstream; tree-structured wavelet transform; Computer science; Decoding; Discrete wavelet transforms; Image coding; Image databases; Image retrieval; Image storage; Information retrieval; Software engineering; Wavelet transforms; Image Retrieval; Wavelet Transform; image;
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
DOI :
10.1109/CSSE.2008.510