A refined VQ-based image compression method

Authors:
Yung-Kuan Chan;Her-Fa Wang;Chin-Fan Lee
Affiliations:
Department of Management Information Systems, National Chung Hsing University, No. 250, Kuokuang Rd., Taichung 402, Taiwan, R.O.C.;Department of Information Management, Chaoyang University of Technology, 168 Gifeng E. Rd., Wufeng, Taichung County, Taiwan, R.O.C.;Department of Information Management, Chaoyang University of Technology, 168 Gifeng E. Rd., Wufeng, Taichung County, Taiwan, R.O.C.
Venue:
Fundamenta Informaticae
Year:
2003

Citing 5
Cited 2

3D RGB image compression for interactive applications

ACM Transactions on Graphics (TOG)
Conditional Entropy Coding of VQ Indexes for Image Compression

DCC '97 Proceedings of the Conference on Data Compression
VQ index coding for high-fidelity medical image compression

ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 3 - Volume 3
Tuning JPEG2000 Image Compression for Graphics Regions

SSIAI '02 Proceedings of the Fifth IEEE Southwest Symposium on Image Analysis and Interpretation
A generalized VQ method for combined compression and estimation

ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 04

Hypergraphs for Generic Lossless Image Compression

Fundamenta Informaticae
Fuzzy declustering-based vector quantization

Pattern Recognition

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a refined VQ-based image compression method which modifies the traditional VQ-based image compression method. The refined VQ-based image compression method further lossless encodes the compression data which is generated by the traditional VQ-based image compression method into a set of compression codes. The index image generated by the refined method is a contracted image of the compressed image, which can be used as the preview of the compressed image on image management. Although the PSNRs of the reconstructed images that are decoded by the refined VQ-based image compression method and the traditional VQ-based image compression method are the same, the refined VQ-based image compression method provides a better storage efficiency.