1 January 1995 Histogram equalization of 24-bit color images in the color difference (C-Y) color space
Author Affiliations +
J. of Electronic Imaging, 4(1), (1995). doi:10.1117/12.191335
Abstract
We describe a method of enhancing color images by applying histogram equalization to the saturation component in the color difference (C-Y) color space. When histogram equalization is applied to the saturation component of a 24-bit image, the transform often leads to red, green, and blue components that exceed the realizable RGB intensities. The histogram equalization algorithm presented reduces this problem by taking into account the relationship that exists between luminance and saturation and how the luminance value limits the range of possible saturations. This method also retains a more uniform distribution of color saturation once the components are transformed back into the RGB space. This is important for images that contain high-luminance, low-saturation features.
Arthur Robert Weeks, G. Eric Hague, Harley R. Myler, "Histogram equalization of 24-bit color images in the color difference (C-Y) color space," Journal of Electronic Imaging 4(1), (1 January 1995). http://dx.doi.org/10.1117/12.191335
JOURNAL ARTICLE
8 PAGES


SHARE
KEYWORDS
RGB color model

Image processing

Image enhancement

Color difference

3D image processing

3D modeling

Visual process modeling

RELATED CONTENT

Digital elevation extraction from multiple MTI data sets
Proceedings of SPIE (January 07 2004)
Optical threshold generator for stream cipher systems
Proceedings of SPIE (October 24 1997)
Camera Edge Response
Proceedings of SPIE (March 12 1988)
3D data model of transportation network in city
Proceedings of SPIE (December 02 2005)

Back to Top