• DocumentCode
    257687
  • Title

    HEVC-based lossless compression of Whole Slide pathology images

  • Author

    Sanchez, Victor ; Auli-Llinas, Francesc ; Bartrina-Rapesta, Joan ; Serra-Sagrista, Joan

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Warwick, Coventry, UK
  • fYear
    2014
  • fDate
    3-5 Dec. 2014
  • Firstpage
    297
  • Lastpage
    301
  • Abstract
    This paper proposes an HEVC-based method for lossless compression of Whole Slide pathology Images (WSIs). Based on the observation that WSIs usually feature a high number of edges and multidirectional patterns due to the great variety of cellular structures and tissues depicted, we combine the advantages of sample-by-sample differential pulse code modulation (SbS-DPCM) and edge prediction into the intra coding process. The objective is to enhance the prediction performance where strong edge information is encountered. This paper also proposes an implementation of the decoding process that maintains the block-wise coding structure of HEVC when SbS-DPCM and edge prediction are employed. Experimental results on various WSIs show that the proposed method attains average bit-rate savings of 7.67%.
  • Keywords
    biological tissues; data compression; differential pulse code modulation; image coding; medical image processing; HEVC; HEVC-based lossless compression; SbS-DPCM; WSI; block-wise coding structure; cellular structures; decoding process; edge prediction; high efficiency video coding; intra coding process; multidirectional patterns; sample-by-sample differential pulse code modulation; tissues; whole slide pathology images; Big data; Biomedical imaging; Decoding; Encoding; Image coding; Image edge detection; Video coding; HEVC; intra coding; lossless compression; whole slide pathology images;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal and Information Processing (GlobalSIP), 2014 IEEE Global Conference on
  • Conference_Location
    Atlanta, GA
  • Type

    conf

  • DOI
    10.1109/GlobalSIP.2014.7032126
  • Filename
    7032126