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LUT and multilevel brownian retinex colour correction

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EN
Abstrakty
EN
Retinex, a model of human color vision suitable for unsupervised chromatic equalization, due to Land and McCann, is receiving a reneved interest after several years. Different versions have been developed so far, and it has been used for various applications. Most of the implementations skip the classical random paths approach because of the high frequency chromatic noise it introduces. To solve the noise problem, avoiding the increase of path number and witout substituting the random path approach, we present in this paper two new retinex versions: one based on lookppup table transformation, and another based on multilevel image decomposition. These versions strongly decrease the dependency of the computed pixel value on the path randomness, eliminating in this way a great part of the chromatic noise.
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autor
  • Dip. Tecnologia dell'Informazione Polo di ricerca di Crema, Univ. di Milano, Italy
autor
  • Dip. Scienze dell'Informazione, Univ. di Milano, Italy
autor
Bibliografia
  • [1] Land E., McCann J. J.: Lightness and retinex theory. J. of Optical Society of America, 61, 1-11. 1971.
  • [2] Land E.: The Retinex theory of color vision. Scientific American, 237(3), 2-17. 1977.
  • [3] Wyszecky G., Stiles W. S.: Color Science: Concepts and Methods, Quantitative Data and Formulas. J. Wiley & Sons, NY. 1982.
  • [4] Saupe D.: Algorithms for random fractals. In: The Science of Fractal Images, S-V, NY. 1988.
  • [5] Moore A., Allman J., Goodman R.: A real-time neural system for color constancy. IEEE Trans. on NN, 2, 237-246. 1991.
  • [6] Zeki S.: A Vision of the Brain. Blackwell Scientific Pub., Oxford. 1993.
  • [7] Jobson D. J., Rahman Z., Woodel G. A.: A multi-scale Retinex for bridging the gap between colorimages and the human observation of scenes. IEEE Trans on Image Processing: Special Issue on Color Processing. 1997.
  • [8] Barnard K., Funt B.: Investigations into multi-scale Retinex. Proc. of Colour Imaging in Multimedia'98, Derby UK , 9-17. 1998.
  • [9] McCann J. J.: Lesson learned from mondrians applied to real images and color gamuts. Proc. of 7th Color Conference, Scottsdale (USA). 1999.
  • [10] Marini D., Rizzi A.: A computational approach to color adaptation effects. Image and Vision Computing, 18, 1005-1014. 2000.
  • [11] Marini D., Rizzi A., De Carli L.: Multiresolution retinex: comparison of algorithms. Proc. CGIP2000 - First Int. Conf. on Color in Graphics and Image Proccessing, St. Etienne, France, 106-110. 2000.
  • [12] Gatta C., Rizzi A., Marini D.: ACE: an automatic color equalization algorithm. Proc. of CGIV'2002 First European Conf. on Color in Graphics, Imaging a nd Vision, Poitiers, France. 2002.
  • [13] Rizzi A., Gatta C., Marini D.: Color correction between gray world and white patch. Proc. of Electronic Imaging '02, IS&T/SPIE's Int. Sym., Jose, California (USA). 2002.
  • [14] Retinex at 40: Joint special session among "Human Vision and Electronic Imaging VII", "Color Imaging: Device-Independent Color, Color Hardcopy, and Applications VII" and "Internet Imaging" conferences at. Electronic Imaging'02, IS&T/SPIE's Int. Symp., S. Jose, California (USA). 2002.
  • [15] Rizzi A., Gatta C.: A Local Linear LUT method for increasing the speed of generic image filtering algorithms. Note del Polo - Ricerca N.43, Internal Report, Univ. of Milano, Polo di Ricerca di Crema. 2002.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWA1-0002-0062
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