Journal of Applied Science and Engineering

Published by Tamkang University Press


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Jen-Shiun Chiang1, Chih-Hsien Hsia This email address is being protected from spambots. You need JavaScript enabled to view it.2, Hao-Wei Peng1 and Chun-Hung Lien3

1Department of Electrical Engineering, Tamkang University, Tamsui, Taiwan 251
2Department of Electrical Engineering, Chinese Culture University, Taipei, Taiwan 111
3Commercialization and Service Center, Industrial Technology Research Institute, Taipei, Taiwan 106


Received: July 30, 2014
Accepted: November 12, 2014
Publication Date: December 1, 2014

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In the traditional color adjustment approach, people tried to separately adjust the luminance and saturation. This approach makes the color over-saturate very easily and makes the image look unnatural. In this study, we try to use the concept of exposure compensation to simulate the brightness changes and to find the relationship among luminance, saturation, and hue. The simulation indicates that saturation changes withthe change of luminance and the simulation also shows there are certain relationships between color variation model and YCbCr color model. Together with all these symptoms, we also include the human vision characteristics to propose a new saturation method to enhance the vision effect of an image. As results, the proposed approach can make the image have better vivid and contrast. Most important of all, unlike the over-saturation caused by the conventional approach, our approach prevents over-saturation and further makes the adjusted image look natural.

Keywords: Color Adjustment, Human Vision, Color Image Processing, YCbCr, Over-Saturation


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