Infrared image detail enhancement based on local adaptive gamma correction

Infrared image detail enhancement based on local adaptive gamma correction

An infrared image detail enhancement method based on local adaptive gamma correction （LAGC） is proposed. The local adaptive gamma values are designed based on the Weber curve to enhance effectively the image details. Subsequently, the active grayscale range of the image processed by LAGC is further...

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Bibliographic Details
Published in:Chinese optics letters Vol. 10; no. 2; pp. 25 - 29
Main Author: 刘斌 王霞 金伟其 陈艳 刘崇亮 刘秀
Format: Journal Article
Language:English
Published: 10-02-2012
Subjects:
伽玛值
伽玛校正
图像细节
增强方法
对比度
直方图统计
红外
自适应
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Summary:An infrared image detail enhancement method based on local adaptive gamma correction （LAGC） is proposed. The local adaptive gamma values are designed based on the Weber curve to enhance effectively the image details. Subsequently, the active grayscale range of the image processed by LAGC is further extended by using our proposed histogram statistical stretching. The experimental results show that the proposed algorithm could considerably increase the image details and improve the contrast of the entire image. Thus, it has significant potential for practical applications.
Bibliography:Bin Liu , Xia Wang, Weiqi Jin , Yan Chen , Chongliang Liu , Xiu Liu （Key Laboratory of Photoelectronic Imaging Technology and System （Beijing Institute of Technology） Ministry of Education, School of Optoelectronics, Beijing Institute of Technology, Beijing 100081, China）
31-1890/O3
An infrared image detail enhancement method based on local adaptive gamma correction （LAGC） is proposed. The local adaptive gamma values are designed based on the Weber curve to enhance effectively the image details. Subsequently, the active grayscale range of the image processed by LAGC is further extended by using our proposed histogram statistical stretching. The experimental results show that the proposed algorithm could considerably increase the image details and improve the contrast of the entire image. Thus, it has significant potential for practical applications.
ISSN:1671-7694
DOI:10.3788/COL201210.021002