Title :
Normalized SI Correction for Hue-Preserving Color Image Enhancement
Author :
Yu, Dong ; Ma, Li-hong ; Lu, Han-Qing
Author_Institution :
South China Univ. of Technol., Guangzhou
Abstract :
We examine the issue of color distortion after enhancement in this study and proposed an algorithm named normalized SI correction to correct intensity and saturation components based on their relationship. Unlike previous research, this paper wants to emphasize on a general correction method suitable for different kind of enhancement. We start with a general introduction to the HSV color space. Next, we go deep into the relationship between intensity and saturation. Based on the relationship we conclude, we propose our algorithm in detail and test the algorithm with different kind of images. Experimental results demonstrate that the proposed algorithm can correct the color distortion caused by the enhancement without reducing the visual effect and it is especially useful for images with rich colors and local high component values.
Keywords :
image colour analysis; image enhancement; color distortion; hue-preserving color image enhancement; intensity correction; normalized SI correction; saturation components correction; Automation; Color; Computer networks; Cybernetics; Histograms; Machine learning; Nonlinear distortion; Pattern recognition; Pixel; Visual effects; Color image enhancement; HSV color space; Hue preserving; Intensity correction; Normalization; Saturation correction; Visual information processing;
Conference_Titel :
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-0973-0
Electronic_ISBN :
978-1-4244-0973-0
DOI :
10.1109/ICMLC.2007.4370382