A Refined VQ-Based Image Compression Method

• Autorzy: Chan Y-K , Wang H-F. , Lee C-F.
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

VQ-based compression method; LBG algorithm; algorithm LBG; k-means clustering; JPEG compresion method; JBIG compression method

• Wydawca: IOS Press
• Czasopismo: Fundamenta Informaticae
• Rocznik: 2004
• Tom: Vol. 61, nr 3,4
• Strony: 213--221
• Opis fizyczny: Bibliogr. 18 poz., fot., tab.

Twórcy

autor

Chan Y-K

• Department of Management Information System, National Chung Hsing University, 250 Kuokuang, Road, 402 Taichung, Taiwan, R.O.C.

autor

Wang H-F.

• Department of Information Management, Chaoyang University of Technology, 168 Gifeng E. Rd., Wufeng, Taichung County, Taiwan, R.O.C.

autor

Lee C-F.

• Department of Information Management , Chaoyang University of Technology, 168 Gifeng E. Rd., Wufeng, Taichung County, Taiwan, R.O.C.

Bibliografia

• [1] Ravind, A., Gersho, A.: Image compression based on vector quanfization with finite memory, Optical Engineering, 7(26) 1987,570-580.
• [2] Bajaj, C, Ihm, 1., Park. S.: 3D RGB image compression for interactive applications, ACM Transactions on Graphis 20(1), 2001, 10-38.
• [3] Banerjee, S., Evans, B. L.: Tuning JPEG2000 image compression for graphics regions, IEEE Proceedings of the Fifth Southwest Symposium on Image Analysis and Interpretation. 2002. pp. 67-71.
• [4] Ginesta, X., Kim, S. P.: Vector quantization of contextual information for lossless image compression, IEEE Proceedings of International Conference on Data Compression, Los Alamitos, CA, USA, 1994, 390-399.
• [5] Gong, Y., Fan, M. K. H., Huang, C. M.: Lossless coding on VQ indexes for image compression, IEEE Proceedings of International Conference on Acoustic, Speech and Signal Processing:, 2, Orlando, July 2001, 382-386.
• [6] Gray, M. Vector quantization, IEEE Acoustics. Speech and Signal Processing Magazine, 1, 1984, 4-29.
• [7] Hamzaoui, R., Muller, M., Saupe, D.: VQ-enhanced fractal image compression, IEEE Proceedings of International Conference on Image Processing, 1996, 1, 1996, 153 -156.
• [8] ISO/IEC, ISO/IEC 11544:1993 Information technology - Coded representation of picture and audio information-Progressive bi-level image compression, Mar. 1993.
• [9] Jiang, W., Wu, X., Ng, W. Y: VQ index coding for high-fidelity medical image compression, IEEE Proceedings of International Conference on Image Processing, 3, 1997, 678-681.
• [10] Linde, Y, Buzo, A., Gray, R. M.: An algorithm for vector quantizer design, IEEE Transactions on Communications, 28(1), January 1980, 84-95.
• [11] Liu, E. C, Wang, T. C: An Improvement on Lossless Compression of VQ Indexes, IEEE Proceedings of International Conference on Global Telecommunications Conference, 3, 1998, 1699-1704.
• [12] Liu, E.C., Wang, T. C: Lossless compression of VQ indexes using search-order and correction codes", IEEE Proceedings of International Conference on Signal Processing Systems, 1998, 202-209.
• [13] Rao. A., Miller, D., Rose, K., Gersho. A.: A generalized VQ method for combined compression and estimation, IEEE Proceedings of International Conference on Acoustics. Speech, and Signal Processing, 4, 1996, 2032-2035.
• [14] Savakis, E.: Evaluation of lossless compression methods for gray scale document images. Proceedings of International Conference Image Processing, 1,2000, 136-139.
• [15] Sridharan, S., Leis, J.: Two novel lossless algorithms to exploit index redundancy in VQ speech compression, IEEE Proceedings of International Conference on Acoustics, Speech, and Signal Processing, 1, 1998, 57-60.
• [16] Wang, C, Chen, C. H., Chen, I. H.: Modified VQ-BTC algorithm for image compression, IEEE Electronics Utters, 34, 1998, 1390-1392.
• [17] Wang, X., Shende, S.M., Sayood, K.: Online compression of video sequences using adaptive VQ codebooks, IEEE Proceedings of International Conference on Data Compression. 1994, 185-194.
• [18] Wu, X., Wen, J., Wong, W. H.: Conditional entropy coding of VQ indexes for image compression, IEEE Proceedings of International Conference on Data Compression. 1997, 347-356