• DocumentCode
    3335356
  • Title

    Point-and-click region based method for color editing and control for digital color printers

  • Author

    Zhu, Siyu ; Dianat, Sohail A. ; Mestha, Lalit K.

  • Author_Institution
    Dept. of Electr. Eng., Rochester Inst. of Technol., Rochester, NY, USA
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    541
  • Lastpage
    544
  • Abstract
    To meet ever changing customer demand, the commercial printing industry requires the capability of producing colors accurately and consistently. In this presentation, we propose to use a region growing process with a spatial (i.e., 2-D) color gradient matrix in RGB or L*a*b* or CMYK space to pick a region/object of interest. A grid with Laplacian edge map is constructed for the whole image a priori using the spatial color gradient matrix. The Laplacian edge map (a template), if needed, is shown on the GUI to guide the user to point at his or her object of interest. After clicking the mouse, the algorithm will grow the region until it coincides with the Laplacian edge map. A color constrained cost function is introduced to prevent leakage through mild transitions between different objects. Once the object is selected, a customized rendering LUT is applied to improve the color quality of the object. We also present control-based techniques to create inverse transformation that produce more accurate CMYK values. Control based techniques minimize the rendering errors normally occur during inversion and gamut mapping process.
  • Keywords
    digital printing; gradient methods; graphical user interfaces; image colour analysis; table lookup; CMYK space; GUI; Laplacian edge map; RGB; color editing; customized rendering LUT; digital color printers; gamut mapping; inverse transformation; object of interest; point-and-click region; region of interest; spatial color gradient matrix; Image color analysis; Image edge detection; Laplace equations; Pixel; Printers; Rendering (computer graphics); Table lookup; Color control; Image rendering; Object image segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2010 17th IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-7992-4
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2010.5651573
  • Filename
    5651573