Open AccessColor Systems and Color Image Enhancement Methods
Author(s) -
Akira Taguchi
Publication year - 1970
Publication title -
ecti transactions on computer and information technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.132
H-Index - 2
ISSN - 2286-9131
DOI - 10.37936/ecti-cit.2016102.75141
Subject(s) - color space , rgb color model , histogram equalization , color histogram , artificial intelligence , color balance , hue , computer vision , color normalization , rgb color space , color image , color depth , icc profile , computer science , color model , false color , high color , mathematics , image processing , image (mathematics)
There are many color systems. Some systems are correspond to the human visual system, such as the Munsell color system. Other systems are formulated to ease data processing in machines, such as RGB color space. At first, Munsell color system is introduced in this paper. Next, RGB color system and hue-saturation-intensity (HSI) color system which is derived from RGB color systems are reviewed. HSI color system is important, because HSI color system is closely related to Munsell color system. We introduce the advantage and drawbacks of the conventional HSI color space. Furthermore, the improved HSI color system is introduced. The second half of this paper, we introduce a lot of color image enhancement methods based on the histogram equalization or the differential histogram equalization. Since hue preserving is necessary for color image processing, intensity processing methods by using both intensity and saturation in HSI color space are reviewed. Finally, hue preserving color image enhancement methods in RGB color system are explained.