DH-LZW: Lossless data hiding in LZW compression

被引:0
|
作者
Shim, HJ [1 ]
Ahn, JH [1 ]
Jeon, BW [1 ]
机构
[1] Sungkyunkwan Univ, Sch Informat & Comp Engn, Suwon 440746, South Korea
关键词
D O I
暂无
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
LZW is one of the well-known lossless compression methods. Since it has several remarkable features such that coding is simple, prior analysis on source Is unnecessary. and the whole code table is not sent to its decoder. LZW is widely used in many applications. GIF, TIFF, and PDF (compressing images) are good examples of them. In spite of its reputation on compression, however, few data hiding methods are directly applied to LZW itself. This may be due to few redundancies remained in losslessly compressed data: therefore there is not enough available room for data hiding. The existing methods are lossy, however, lossless approach is preferred to the lossy one. In this paper, we propose the DH-LZW method that embeds data to source data in a lossless manner. Through this paper, modifiable elements of LZW for data hiding are introduced and a way to handle them is proposed. Experiments show very promising results.
引用
下载
收藏
页码:2195 / 2198
页数:4
相关论文
共 50 条
  • [31] Watermark Compression in Medical Image Watermarking Using Lempel-Ziv-Welch (LZW) Lossless Compression Technique
    Gran Badshah
    Siau-Chuin Liew
    Jasni Mohd Zain
    Mushtaq Ali
    Journal of Digital Imaging, 2016, 29 : 216 - 225
  • [32] Watermark Compression in Medical Image Watermarking Using Lempel-Ziv-Welch (LZW) Lossless Compression Technique
    Badshah, Gran
    Liew, Siau-Chuin
    Zain, Jasni Mohd
    Ali, Mushtaq
    JOURNAL OF DIGITAL IMAGING, 2016, 29 (02) : 216 - 225
  • [33] Address space partitioning for the parallel dictionary LZW data compression algorithm
    Safieh, Malek
    Freudenberger, Juergen
    2019 16TH CANADIAN WORKSHOP ON INFORMATION THEORY (CWIT), 2019,
  • [34] Distributed compression and decompression for big image data: LZW and Huffman coding
    Netalkar, Rohan Kishor
    Barman, Hillol
    Subba, Rushik
    Preetam, Kandula Venkata
    Raju, Undi Surya Narayana
    JOURNAL OF ELECTRONIC IMAGING, 2021, 30 (05)
  • [35] Implementation and Optimization of LZW Compression Algorithm Based on Bridge Vibration Data
    Zhang, Fengyuan
    Li, Zhao
    Wen, Mengli ChenLili
    Jia, Xiaolu
    Chen, Cheng
    CEIS 2011, 2011, 15
  • [36] Compression Algorithm of Road Traffic Spatial Data Based on LZW Encoding
    Xu, Dong-wei
    Wang, Yong-dong
    Jia, Li-min
    Zhang, Gui-jun
    Guo, Hai-feng
    JOURNAL OF ADVANCED TRANSPORTATION, 2017, : 1 - 13
  • [37] Enhanced LZW Technique for Medical Image Compression
    Singh, Sadhana
    Pandey, Preeti
    PROCEEDINGS OF THE 10TH INDIACOM - 2016 3RD INTERNATIONAL CONFERENCE ON COMPUTING FOR SUSTAINABLE GLOBAL DEVELOPMENT, 2016, : 1080 - 1084
  • [38] Information hiding on lossless data compression
    Yoshioka, Katsunari
    Sonoda, Kotaro
    Takizawa, Osamu
    Matsumoto, Tsutomu
    IIH-MSP: 2006 INTERNATIONAL CONFERENCE ON INTELLIGENT INFORMATION HIDING AND MULTIMEDIA SIGNAL PROCESSING, PROCEEDINGS, 2006, : 15 - +
  • [39] Error Repair Technology of Lempel-Ziv-Welch (LZW) Compression Data
    Wang G.
    Peng H.
    Tang Y.-W.
    Jin Y.-Q.
    Jin, Yan-Qing (angwzhg@yeah.net), 1600, Beijing Institute of Technology (40): : 562 - 569
  • [40] A Novel Hybrid Medical Data Compression Using Huffman Coding and LZW in IoT
    Mohammadi, Hossein
    Ghaderzadeh, Abdulbaghi
    Ahmadi, Amir Sheikh
    IETE JOURNAL OF RESEARCH, 2023, 69 (11) : 7831 - 7845