Abstract
In this paper, an algorithm is proposed to improve contrast and saturation without color degradation. The local histogram equalization (HE) method offers better performance than the global HE method, whereas the local HE method sometimes produces undesirable results due to the block-based processing. The proposed contrastenhancement (CE) algorithm reflects the characteristics of the global HE method in the local HE method to avoid the artifacts, while global and local contrasts are enhanced. There are two ways to apply the proposed CE algorithm to color images. One is luminance processing methods, and the other one is each channel processing methods. However, these ways incur excessive or reduced saturation and color degradation problems. The proposed algorithm solves these problems by using channel adaptive equalization and similarity of ratios between the channels. Experimental results show that the proposed algorithm enhances contrast and saturation while preserving the hue and producing better performance than existing methods in terms of objective evaluation metrics.
| Original language | English |
|---|---|
| Pages (from-to) | 1076-1088 |
| Number of pages | 13 |
| Journal | Journal of the Optical Society of America A: Optics and Image Science, and Vision |
| Volume | 33 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - 2016 Jun |
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All Science Journal Classification (ASJC) codes
- Electronic, Optical and Magnetic Materials
- Atomic and Molecular Physics, and Optics
- Computer Vision and Pattern Recognition
Cite this
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Hue-preserving and saturation-improved color histogram equalization algorithm. / Song, Ki Sun; Kang, Hee; Kang, Moon Gi.
In: Journal of the Optical Society of America A: Optics and Image Science, and Vision, Vol. 33, No. 6, 06.2016, p. 1076-1088.Research output: Contribution to journal › Article
TY - JOUR
T1 - Hue-preserving and saturation-improved color histogram equalization algorithm
AU - Song, Ki Sun
AU - Kang, Hee
AU - Kang, Moon Gi
PY - 2016/6
Y1 - 2016/6
N2 - In this paper, an algorithm is proposed to improve contrast and saturation without color degradation. The local histogram equalization (HE) method offers better performance than the global HE method, whereas the local HE method sometimes produces undesirable results due to the block-based processing. The proposed contrastenhancement (CE) algorithm reflects the characteristics of the global HE method in the local HE method to avoid the artifacts, while global and local contrasts are enhanced. There are two ways to apply the proposed CE algorithm to color images. One is luminance processing methods, and the other one is each channel processing methods. However, these ways incur excessive or reduced saturation and color degradation problems. The proposed algorithm solves these problems by using channel adaptive equalization and similarity of ratios between the channels. Experimental results show that the proposed algorithm enhances contrast and saturation while preserving the hue and producing better performance than existing methods in terms of objective evaluation metrics.
AB - In this paper, an algorithm is proposed to improve contrast and saturation without color degradation. The local histogram equalization (HE) method offers better performance than the global HE method, whereas the local HE method sometimes produces undesirable results due to the block-based processing. The proposed contrastenhancement (CE) algorithm reflects the characteristics of the global HE method in the local HE method to avoid the artifacts, while global and local contrasts are enhanced. There are two ways to apply the proposed CE algorithm to color images. One is luminance processing methods, and the other one is each channel processing methods. However, these ways incur excessive or reduced saturation and color degradation problems. The proposed algorithm solves these problems by using channel adaptive equalization and similarity of ratios between the channels. Experimental results show that the proposed algorithm enhances contrast and saturation while preserving the hue and producing better performance than existing methods in terms of objective evaluation metrics.
UR - http://www.scopus.com/inward/record.url?scp=84973332983&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84973332983&partnerID=8YFLogxK
U2 - 10.1364/JOSAA.33.001076
DO - 10.1364/JOSAA.33.001076
M3 - Article
AN - SCOPUS:84973332983
VL - 33
SP - 1076
EP - 1088
JO - Journal of the Optical Society of America A: Optics and Image Science, and Vision
JF - Journal of the Optical Society of America A: Optics and Image Science, and Vision
SN - 1084-7529
IS - 6
ER -