• DocumentCode
    432496
  • Title

    Efficient image coding for access to pixel ranges

  • Author

    Yea, Sehoon ; Said, Amir ; Pearlman, William A.

  • Author_Institution
    Dept. of Electr. Comput. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA
  • Volume
    1
  • fYear
    2004
  • fDate
    24-27 Oct. 2004
  • Firstpage
    425
  • Abstract
    Technical imaging applications such as coding "images" of digital elevation maps, require extracting regions of compressed images with the pixel values within a pre-defined range, without having to decompress the whole image. Previously, we introduced a class of nonlinear transforms which are small modifications of linear transforms to facilitate a search for the regions with pixel values below (above) a given \´threshold\´, without incurring any penalty in coding efficiency. However, coding efficiency had to be somewhat compromised when searching for regions with a given pixel \´range\´, especially at high coding rates. In this paper, we propose an improved method of pixel \´range\´ coding to deal with the aforementioned problem. Results show significant improvements in coding efficiency.
  • Keywords
    Haar transforms; discrete cosine transforms; image coding; DCT; Haar wavelet; coding efficiency; compressed image region extraction; digital elevation maps; high coding rates; image coding; nonlinear transforms; order-statistics preserving linear transforms; pixel range access; pixel value threshold; predefined pixel value range; technical imaging; Application software; Discrete cosine transforms; Discrete transforms; Ear; Image coding; Lakes; Magnetic resonance imaging; Pixel; Systems engineering and theory; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2004. ICIP '04. 2004 International Conference on
  • ISSN
    1522-4880
  • Print_ISBN
    0-7803-8554-3
  • Type

    conf

  • DOI
    10.1109/ICIP.2004.1418781
  • Filename
    1418781