Histogram equalization of 24-bit color images in the color difference (C-Y) color space | Zendy

Arthur R. Weeks | Zendy

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Histogram equalization of 24-bit color images in the color difference (C-Y) color space

Author(s) -

Arthur R. Weeks

Publication year - 1995

Publication title -

journal of electronic imaging

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.238

H-Index - 66

eISSN - 1560-229X

pISSN - 1017-9909

DOI - 10.1117/12.191335

Subject(s) - histogram equalization , color difference , color space , color normalization , color histogram , artificial intelligence , computer vision , computer science , color depth , histogram , icc profile , color image , false color , color balance , image processing , color model , image (mathematics) , enhanced data rates for gsm evolution

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.

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