Color image detail enhancement based on quaternion guided filter

doi:10.1016/S1005-8885(17)60222-X

中国邮电高校学报(英文) ›› 2017, Vol. 24 ›› Issue (4): 40-50.doi: 10.1016/S1005-8885(17)60222-X

• Artificial Intelligence • 上一篇下一篇

Color image detail enhancement based on quaternion guided filter

武昆,李桂菊,韩广良,杨航,刘培勋

中国科学院长春光学精密机械与物理研究所

收稿日期:2017-02-16 修回日期:2017-06-15 出版日期:2017-08-30 发布日期:2017-08-30
通讯作者: 武昆 E-mail:648581540@qq.com
基金资助:
国家自然科学基金重点项目

Color image detail enhancement based on quaternion guided filter

Received:2017-02-16 Revised:2017-06-15 Online:2017-08-30 Published:2017-08-30
Contact: Kun Wu E-mail:648581540@qq.com
Supported by:
National Science Foundation of China

摘要/Abstract

摘要： Color image enhancement is an active research field in image processing. Currently, many image enhancement methods are capable of enhancing the details of the color image. However, these methods only process the red, green and blue (RGB) color channels separately, which leads to color distortion easily. In order to overcome this problem, the paper presents an approach to integrate the quaternion theory into the traditional guided filter to obtain a quaternion guided filter (QGF). This method makes full use of the color information of an image to realize the holistic processing of RGB color channels. So as to preserve color information while enhancing details, this paper proposes a color image detail enhancement algorithm based on the QGF. Experimental results show that the proposed algorithm is effective in the applications of the color image detail enhancement, and enables image’s edges to be more prominent and texture clearer while avoiding color distortion. Compared with the existing image enhancement methods, the proposed method achieves better enhancement performance in terms of the visual quality and the objective evaluating indicators.

关键词: detail enhancement, quaternion guided filter, self-adaptive enhancement transform

Abstract: Color image enhancement is an active research field in image processing. Currently, many image enhancement methods are capable of enhancing the details of the color image. However, these methods only process the red, green and blue (RGB) color channels separately, which leads to color distortion easily. In order to overcome this problem, the paper presents an approach to integrate the quaternion theory into the traditional guided filter to obtain a quaternion guided filter (QGF). This method makes full use of the color information of an image to realize the holistic processing of RGB color channels. So as to preserve color information while enhancing details, this paper proposes a color image detail enhancement algorithm based on the QGF. Experimental results show that the proposed algorithm is effective in the applications of the color image detail enhancement, and enables image’s edges to be more prominent and texture clearer while avoiding color distortion. Compared with the existing image enhancement methods, the proposed method achieves better enhancement performance in terms of the visual quality and the objective evaluating indicators.

Key words: detail enhancement, quaternion guided filter, self-adaptive enhancement transform

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Color image detail enhancement based on quaternion guided filter

Color image detail enhancement based on quaternion guided filter

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