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
fDate :
Sept. 28 2010-Oct. 1 2010
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;
Conference_Titel :
Electronics, Robotics and Automotive Mechanics Conference (CERMA), 2010
Conference_Location :
Morelos
Print_ISBN :
978-1-4244-8149-1
DOI :
10.1109/CERMA.2010.42