Title :
A Novel Lossy Image Compression Scheme Based on Hilbert Curve and VQ Suitable for Fast Window Query
Author :
Chang, Chin-Chen ; Hsiao, Ju-Yuan ; Yeh, Jyh-Chiang
Author_Institution :
Dept. of Inf. Eng. & Comput. Sci., Feng Chia Univ., Taichung
Abstract :
In this paper, a novel lossy image compression scheme suitable for fast window query which is based on Hilbert curve and VQ is proposed. It allows us to perform window query directly on the compressed code of a gray-level image without decompressing the full compressed image first. The compression effect achieved by our method is also excellent. According to the substantial experimental results, the applicability of our method can be demonstrated.
Keywords :
Hilbert transforms; curve fitting; data compression; image coding; vector quantisation; Hilbert curve; VQ suitable; fast window query; gray-level image; lossy image compression; vector quantization; Application software; Computer science; Data engineering; Hilbert space; Image coding; Image databases; Image retrieval; Image storage; Information technology; Pixel; Hilbert curve; image compression; space filling curve; vector quantization; window query;
Conference_Titel :
Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3497-8
DOI :
10.1109/IITA.2008.256
