• DocumentCode
    951294
  • Title

    A new class of chromatic filters for color image processing. theory and applications

  • Author

    Lucchese, Luca ; Mitra, Sanjit K.

  • Author_Institution
    Sch. of Electr. Eng. & Comput. Sci., Oregon State Univ., Corvallis, OR, USA
  • Volume
    13
  • Issue
    4
  • fYear
    2004
  • fDate
    4/1/2004 12:00:00 AM
  • Firstpage
    534
  • Lastpage
    548
  • Abstract
    This paper advances a new framework for chromatic filtering of color images. The chromatic content of a color image is encoded in the CIE u´v´ chromaticity coordinates whereas the achromatic content is encoded as CIE Y tristimulus value. Within the u´v´ chromaticity diagram, colors are added according to the well-known center of gravity law of additive color mixtures, which is generalized here into a nonlinear filtering scheme for processing the two chromatic signals u´ and v´. The achromatic channel Y can be processed with traditional filtering schemes, either linear or nonlinear, depending on the specific task at hand. The most interesting characteristics of the new filtering scheme are: 1) the elimination of color smearing effects along edges between bright and dark areas; 2) the possibility of processing chromatic components in a noniterative fashion through linear convolution operations; and 3) the consequent amenability to computationally efficient implementations with fast Fourier transform. The paper includes several examples with both synthetic and real images where the performance of the new filtering method is compared with that of other color image processing algorithms.
  • Keywords
    convolution; fast Fourier transforms; filtering theory; image colour analysis; nonlinear filters; achromatic channel Y; additive color mixtures; center of gravity law; chromatic component processing; chromatic filter; chromatic signal; chromaticity coordinates; color image processing; color smearing effect elimination; fast Fourier transform; linear convolution; nonlinear filtering; Additive white noise; Color; Colored noise; Gravity; Information filtering; Information filters; Noise reduction; Nonlinear filters; Semiconductor device noise; Vectors; Algorithms; Color; Image Enhancement; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Stochastic Processes;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/TIP.2003.822609
  • Filename
    1284390