Robust SPIHT-based image compression

被引:0
|
作者
Chen, HL [1 ]
Yang, YH [1 ]
机构
[1] Shanghai Jiao Tong Univ, Modern Commun Inst, Shanghai 200030, Peoples R China
关键词
robust; set partitioning in hierarchical trees (SPIHT); image compression; packet lose rate;
D O I
暂无
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 famous wavelet-based image coding technique, Set partitioning in hierarchical trees (SPIHT) provides excellent rate distortion performance and progressive display properties when images are transmitted over lossless networks. But due to its highly state-dependent properties, it performs poorly over losing networks. In this paper, we propose an algorithm to reorganize the wavelet transform coefficients according to wavelet tree concept and code each wavelet tree independently. Then, each coded bit-plane of each wavelet tree is packetized and transmitted to networks independently with little header information. Experimental results show that the proposed algorithm improves the robustness of the bit steam greatly while preserving its progressive display properties.
引用
收藏
页码:605 / 607
页数:3
相关论文
共 50 条
  • [1] On the SPIHT-based multispectral image compression
    Khelifi, Fouad
    Bouridane, Ahmed
    Kurugollu, Fatih
    [J]. 2006 IEEE INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND INFORMATION TECHNOLOGY, VOLS 1 AND 2, 2006, : 359 - +
  • [2] SPIHT-based joint image compression and encryption
    Yang Hua-Qian
    Liao Xiao-Feng
    Wong, Kwok-Wo
    Zhang Wei
    Wei Peng-Cheng
    [J]. ACTA PHYSICA SINICA, 2012, 61 (04)
  • [3] Lossy to lossless SPIHT-based volumetric image compression
    Ginesu, G
    Giusto, DD
    Pearlman, WA
    [J]. 2004 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL III, PROCEEDINGS: IMAGE AND MULTIDIMENSIONAL SIGNAL PROCESSING SPECIAL SESSIONS, 2004, : 693 - 696
  • [4] Optimization of LIS and LIP Encoding for SPIHT-Based Image Compression
    Nie, Heting
    Rong, Xianwei
    Yu, Xiaoyan
    [J]. 2017 DATA COMPRESSION CONFERENCE (DCC), 2017, : 453 - 453
  • [5] Optimal refinement/significance map tradeoffs in SPIHT-based image compression
    Creusere, CD
    [J]. CONFERENCE RECORD OF THE THIRTY-FOURTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, 2000, : 1026 - 1030
  • [6] Joined spectral trees for scalable SPIHT-based multispectral image compression
    Khelifi, Fouad
    Bouridane, Ahmed
    Kurugollu, Fatih
    [J]. IEEE TRANSACTIONS ON MULTIMEDIA, 2008, 10 (03) : 316 - 329
  • [7] NEW SPIHT-BASED ALGORITHM FOR ELECTROCARDIOGRAM SIGNAL COMPRESSION
    Boukaache, Abdelnour
    Doghmane, Noureddine
    Boudjehem, Djalil
    [J]. JOURNAL OF MECHANICS IN MEDICINE AND BIOLOGY, 2019, 19 (03)
  • [8] SPIHT-based multiple image watermarking in NSCT domain
    Kumar, Chandan
    Singh, A. K.
    Kumar, P.
    Singh, Rajiv
    Singh, Siddharth
    [J]. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2020, 32 (01):
  • [9] SPIHT-Based Echocardiogram Compression: Clinical Evaluation and Recommendations of Use
    Cavero, Eva
    Alesanco, Alvaro
    Castro, Lena
    Montoya, Jose
    Lacambra, Isaac
    Garcia, Jose
    [J]. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2013, 17 (01) : 103 - 112
  • [10] Error concealment method for SPIHT-based image transmission
    Ding, Xuewen
    Yang, Zhaoxuan
    Wu, Jiapeng
    Zheng, Hongxing
    Cao, Jihua
    Su, Yuting
    [J]. REMOTE SENSING AND GIS DATA PROCESSING AND APPLICATIONS; AND INNOVATIVE MULTISPECTRAL TECHNOLOGY AND APPLICATIONS, PTS 1 AND 2, 2007, 6790