• DocumentCode
    3487102
  • Title

    Simple lossless and near-lossless medical image compression based on enhanced DPCM transformation

  • Author

    Sepehrband, Farshid ; Mortazavi, Mohammad ; Ghorshi, Seyed ; Choupan, Jeiran

  • Author_Institution
    Sharif Univ. of Technol., Tehran, Iran
  • fYear
    2011
  • fDate
    23-26 Aug. 2011
  • Firstpage
    66
  • Lastpage
    72
  • Abstract
    Medical images include information about human body which are used for different purposes such as surgical and diagnostic plans. Compression of medical images is used in some applications such as profiling patient´s data and transmission systems. Regard to importance of medical images information, lossless or near-lossless compression is preferred. Lossless JPEG, JPEG-LS and lossless version of JPEG2000 are few well-known methods for lossless compression. JPEG2000 is one of the latest and provides good compression ratio, however, it is complex [1]. In real time application which needs hardware implementation, low complex algorithm accelerates compression process. In this paper, a lossless and near-lossless compression method is introduced which is efficient due to its high compression ratio and simplicity. The method is consists of a new transformation method called Enhanced DPCM Transformation (EDT) which has a good energy compaction and a suitable Huffman encoding. After introducing the compression method, it is applied on different test cases and the results are evaluated.
  • Keywords
    Huffman codes; differential pulse code modulation; image coding; medical image processing; EDT; Huffman encoding; JPEG-LS; JPEG2000; differential pulse code modulation; enhanced DPCM transformation; human body information; lossless JPEG; lossless medical image compression; near-lossless medical image compression; Complexity theory; Image coding; Image reconstruction; Mathematical model; Medical diagnostic imaging; Transform coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, Computers and Signal Processing (PacRim), 2011 IEEE Pacific Rim Conference on
  • Conference_Location
    Victoria, BC
  • ISSN
    1555-5798
  • Print_ISBN
    978-1-4577-0252-5
  • Electronic_ISBN
    1555-5798
  • Type

    conf

  • DOI
    10.1109/PACRIM.2011.6032869
  • Filename
    6032869