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Infrared image enhancement based on human visual properties
Chen HY(陈宏宇); Hui B(惠斌)
作者部门光电信息技术研究室
会议名称Conference on Applied Optics and Photonics(AOPC)- Image Processing and Analysis
会议日期MAY 05-07, 2015
会议地点Beijing, PEOPLES R CHINA
会议主办者Chinese Soc Opt Engn, Chinese Soc Astronaut, Photoelectron Technol Comm, Sci & Technol Low Light Level Night Vis Lab, SPIE, Opt Soc, European Opt Soc, Opt Soc Korea
会议录名称Proceedings of SPIE, AOPC 2015: OPTICAL AND OPTOELECTRONIC SENSING AND IMAGING TECHNOLOGY
出版者SPIE
出版地BELLINGHAM
2015
页码1-6
收录类别EI ; CPCI(ISTP)
EI收录号20155201719059
WOS记录号WOS:000364675700098
产权排序1
ISSN号0277-786X
ISBN号978-1-62841-899-6
关键词Infrared Image Image Enhancement Bilateral Filter Human Visual Properties
摘要With the development of modern military, infrared imaging technology is widely used in this field. However, limited by the mechanism of infrared imaging and the detector, infrared images have the disadvantages of low contrast and blurry edge by comparison with the visible image. These shortcomings lead infrared image unsuitable to be observed by both human and computer. Thus image enhancement is required. Traditional image enhancement methods on the application of infrared image, without taking into account the human visual properties, is not convenient for the human observation. This article purposes a new method that combines the layering idea with the human visual properties to enhance the infrared image. The proposed method relies on bilateral filtering to separate a base component, which contains the large amplitude signal and must be compressed, from a detail component, which must be expanded because it contains the small signal variations related to fine texture. The base component is mapped into the proper range which is 8-bit using the human visual properties, and the detail component is applied the method of adaptive gain control. Finally, the two parts are recombined and quantized to 8-bit domain. Experimental results show that this algorithm exceeds most current image enhancement methods in solving the problems of low contrast and blurry detail.
语种英语
引用统计
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/17316
专题光电信息技术研究室
作者单位1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
2.University of Chinese Academy of Sciences, Beijing, China
3.Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Science, Shenyang, China
4.Key Lab of Image Understanding and Computer Vision, Liaoning province, Shenyang, China
推荐引用方式
GB/T 7714
Chen HY,Hui B. Infrared image enhancement based on human visual properties[C]//Chinese Soc Opt Engn, Chinese Soc Astronaut, Photoelectron Technol Comm, Sci & Technol Low Light Level Night Vis Lab, SPIE, Opt Soc, European Opt Soc, Opt Soc Korea. BELLINGHAM:SPIE,2015:1-6.
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