A semantic compression scheme for digital images based on vector quantization and data hiding

被引：0
|
作者：
Li Liu
Lifang Wang
Chin-Chen Chang
机构：
[1] Northwestern Polytechnical University,School of Computer Science
[2] Taiyuan University of Science and Technology,College of Electronic Information and Engineering
[3] Feng Chia University,Department of Information Engineering and Computer Science
来源：
Multimedia Tools and Applications | 2017年 / 76卷
关键词：
Semantic compression; Compact image; PCA; Reversible data hiding;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
A novel semantic compression based on vector quantization (VQ) and data hiding is proposed. A compact version of the original image is generated, and then, VQ encoding is used in both the original image and the compact image to get their indexes of codewords in each block. In this processing, principal components analysis (PCA) is employed to rearrange the codebooks of the original image and the compact image in order to obtain the similar index table. Finally, the difference values of these indexes are calculated and embedded into the compact image using the reversible data hiding scheme to generate a small-sized compressed image that has similar content. And a high-quality reconstructed image with the original size easily can be obtained. Our experimental results have proven the expected merits of the proposed scheme.
引用
收藏
页码：20833 / 20846
页数：13
相关论文
共 50 条
  • [1] A semantic compression scheme for digital images based on vector quantization and data hiding
    Liu, Li
    Wang, Lifang
    Chang, Chin-Chen
    [J]. MULTIMEDIA TOOLS AND APPLICATIONS, 2017, 76 (20) : 20833 - 20846
  • [2] A compression-based data hiding scheme using vector quantization and principle component analysis
    Chang, CC
    Lin, PY
    [J]. 2004 INTERNATIONAL CONFERENCE ON CYBERWORLDS, PROCEEDINGS, 2004, : 369 - 375
  • [3] Data Compression Scheme for Fronthaul Based on Vector Quantization
    Feng, Chenwei
    Lin, Mingxia
    Xie, Xinlin
    Zhang, Mingjiang
    [J]. PROCEEDINGS OF THE 2019 INTERNATIONAL CONFERENCE ON ROBOTICS, INTELLIGENT CONTROL AND ARTIFICIAL INTELLIGENCE (RICAI 2019), 2019, : 252 - 257
  • [4] Vector quantization based scheme for data embedding for images
    Liu, N
    Subbalakshmi, KP
    [J]. SECURITY, STEGANOGRAPHY, AND WATERMARKING OF MULTIMEDIA CONTENTS VI, 2004, 5306 : 548 - 559
  • [5] A reversible data hiding scheme based on side match vector quantization
    Chang, Chin-Chen
    Tai, Wei-Liang
    Lin, Chia-Chen
    [J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2006, 16 (10) : 1301 - 1308
  • [6] Improvements of blind data hiding scheme in digital images based on self reference for lossy compression
    Graduate Institute of Networking and Communication Engineering, Chaoyang University of Technology, 168 Jifong E. Rd., Taichung County 41349, Taiwan
    [J]. WSEAS Transactions on Computers, 2007, 6 (05): : 779 - 784
  • [7] A reversible information hiding scheme based on vector quantization
    Chang, CC
    Wu, WC
    [J]. KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 3, PROCEEDINGS, 2005, 3683 : 1101 - 1107
  • [8] Adaptive data hiding for vector quantization images based on overlapping codeword clustering
    Tsai, Yen-Shing
    Tsai, Piyu
    [J]. INFORMATION SCIENCES, 2011, 181 (15) : 3188 - 3198
  • [9] A New Data Hiding Algorithm Based on Direction Vector for Digital Images
    Tuncer, Turker
    Aver, Engin
    [J]. 2015 23RD SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2015, : 1753 - 1756
  • [10] Genetic algorithms based data hiding scheme for digital images with LSBMR
    Siva Raja, P.M.
    Baburaj, E.
    [J]. International Journal of Information and Computer Security, 2014, 6 (01) : 51 - 62
12345