• DocumentCode
    2172577
  • Title

    HABE: Huffman Algorithm and Bit Extraction Applied to Image Equalization

  • Author

    Flores-Pulido, Leticia ; Olivares-González, Ma C Landy ; Osorio, Mauricio ; Starostenko, Oleg

  • Author_Institution
    Dept. de Comput., Electron. y Mecatronica, Univ. de las Americas Puebla, Cholula, Mexico
  • fYear
    2010
  • fDate
    Sept. 28 2010-Oct. 1 2010
  • Firstpage
    308
  • Lastpage
    312
  • Abstract
    Computer vision imply several morphological and mathematical process. Image compression requires methods which involves algorithms and image processing techniques. AHBE system (Algorithm of Huffman combined with Bit Extraction method) provides a novel method to image compression when high quantity of light is present. Preprocessing images is useful in robotics applications to avoid noised data providing relevant information and normalized vector of data. Hoffman algorithm is a greedy technique that is combined with Bit Extraction technique that improves bright and contrast for images obtaining an image equalization in a novel way compressing binary pixels code.
  • Keywords
    computer vision; greedy algorithms; image coding; HABE; Hoffman algorithm; Huffman algorithm; binary pixels code; bit extraction; computer vision; greedy technique; image compression; image equalization; image processing; mathematical process; morphological process; robotics; Binary codes; Binary trees; Histograms; Image color analysis; Image reconstruction; Optimization; Pixel; Binary Codification; Bit Extraction Method; Hoffman algorithm; Image processing; Tree representation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Robotics and Automotive Mechanics Conference (CERMA), 2010
  • Conference_Location
    Morelos
  • Print_ISBN
    978-1-4244-8149-1
  • Type

    conf

  • DOI
    10.1109/CERMA.2010.42
  • Filename
    5692354