• DocumentCode
    2043373
  • Title

    Color Image to Grayscale Image Conversion

  • Author

    Saravanan, C.

  • Author_Institution
    Nat. Inst. of Technol., Comput. Centre, Durgapur, India
  • Volume
    2
  • fYear
    2010
  • fDate
    19-21 March 2010
  • Firstpage
    196
  • Lastpage
    199
  • Abstract
    Conversion of a color image into a grayscale image inclusive of salient features is a complicated process. The converted grayscale image may lose contrasts, sharpness, shadow, and structure of the color image. To preserve contrasts, sharpness, shadow, and structure of the color image a new algorithm has proposed. To convert the color image into grayscale image the new algorithm performs RGB approximation, reduction, and addition of chrominance and luminance. The grayscale images generated using the algorithm in the experiment confirms that the algorithm has preserved the salient features of the color image such as contrasts, sharpness, shadow, and image structure.
  • Keywords
    image colour analysis; RGB approximation; contrasts; grayscale image conversion; image color conversion; salient features preservation; shadow; sharpness; Application software; Approximation algorithms; Color; Computer applications; Gray-scale; Image converters; Image generation; Image processing; Pixel; Printing; color reduction; color to gray transformation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Engineering and Applications (ICCEA), 2010 Second International Conference on
  • Conference_Location
    Bali Island
  • Print_ISBN
    978-1-4244-6079-3
  • Electronic_ISBN
    978-1-4244-6080-9
  • Type

    conf

  • DOI
    10.1109/ICCEA.2010.192
  • Filename
    5445596