Fast hue-preserving histogram equalization methods for color image contrast enhancement.
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2012
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In this work, we formalize a generic fast hue-preserving histogram equalization method based on the RGB
color space for image contrast enhancement and two versions of that generic process. The first method
estimates a RGB 3D histogram to be equalized using R-red, G-green, and B-blue 1D histograms, while the
second method employs RG, RB, and GB 2D histograms. The histogram equalization is performed using
shift hue-preserving transformations, avoiding unrealistic colors. Our methods have linear time and space
complexities with respect to the size of the image and do not need to apply conversions from a color space
to another in order to perform the image enhancement. Such design complies with real-time applications
requirements. An objective assessment comparing our methods and others is performed using a contrast
measure and a color image quality measure, where the quality is established as a weighting of the
naturalness and colorfulness indexes. We analyze 300 images from the dataset of the University of
Berkeley. Experiments show that the value of the image contrast produced by our methods is in average
50% greater than the original image value, keeping the quality of the produced images close to the original
one.
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GOMES, D. M. et al. Fast hue-preserving histogram equalization methods for color image contrast enhancement. International Journal of Computer Science and Information Technology, v. 4, n. 5, p. 243-259, out. 2012. Disponível em: <http://airccse.org/journal/jcsit/4512ijcsit19.pdf>. Acesso em: 17 fev. 2017.