Image Compression Using Hybrid Vector Quantization with DCT

被引:1
作者
Amaar, A.
Saad, E. M.
Ashour, I.
Elzorkany, M.
机构
来源
INTERNATIONAL CONFERENCE ON GRAPHIC AND IMAGE PROCESSING (ICGIP 2011) | 2011年 / 8285卷
关键词
Image Compression; Vector Quantization (VQ); Discrete Cosine Transform (DCT);
D O I
10.1117/12.913483
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
As a result of bandwidth and storage limitations, image compression techniques are widely used in data transmission and data storage. In a congested network like the Internet or low bandwidth communication for wireless transmission, image compression at a low bit rate is necessary. In this paper, a very low bit rate image compression scheme is proposed. This scheme is a hybrid method that combines the high compression ratio of Vector Quantization (VQ) with the good energy-compaction property of Discrete Cosine Transform (DCT). In order to increase the compression ratio while preserving decent reconstructed image quality, Image is compressed using vector quantization (VQ), while DCT was used the code books block. Simulation results show the effectiveness of the proposed method.
引用
收藏
页数:7
相关论文
共 9 条
  • [1] A unified framework for image compression and segmentation by using an incremental neural network
    Dokur, Zumray
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2008, 34 (01) : 611 - 619
  • [2] Esakkirajan S., 2008, INT J SIGNAL PROCESS, V4, P1
  • [3] Gersho A., 2012, Vector Quantization and Signal Compression, V159
  • [4] Gray R. M., 1984, IEEE ACOUST SPEECH S, P9
  • [5] Harandi M. T., LOW BIT RATE IMAGE C
  • [6] Combining support vector machine learning with the discrete cosine transform in image compression
    Robinson, J
    Kecman, V
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS, 2003, 14 (04): : 950 - 958
  • [7] Vector quantization of images with variable block size
    Sasazaki, Kazuya
    Saga, Sato
    Maeda, Junji
    Suzuki, Yukinori
    [J]. APPLIED SOFT COMPUTING, 2008, 8 (01) : 634 - 645
  • [8] A MATHEMATICAL THEORY OF COMMUNICATION
    SHANNON, CE
    [J]. BELL SYSTEM TECHNICAL JOURNAL, 1948, 27 (03): : 379 - 423
  • [9] Tseng HW, 2005, INFORM-J COMPUT INFO, V29, P335