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A self-Adaptive remote sensing image enhancement method based on gradient and intensity histogram
Lu, Zhuanli1,2; Liu, Jiahang1; Chen, Tieqiao1,2; Kang, Chaomeng1,2; Yu, Kai1,2
2017
会议名称Applied Optics and Photonics China: Optical Sensing and Imaging Technology and Applications, AOPC 2017
会议录名称AOPC 2017: Optical Sensing and Imaging Technology and Applications
卷号10462
会议日期2017-06-04
会议地点Beijing, China
出版者SPIE
产权排序1
摘要

It is crucial to enhance the lower contrast Remote remote sensing images to obtain more details information for further remote sensing image processing and application. In this letter here, a self-Adaptive remote sensing image contrast enhancement method has been proposed. The method is an improvement, based on gradient and intensity histogram equalization (GIHE) by using the advantage of histogram compaction transform (HCT). Firstly, we obtained two enhanced images by GIHE and HCT, respectively. Then furthermore, the two enhaceed images were normalized with a self-Adaptive paremeter, which based on standard deviation and mean of the gradient. Finally and then, we modified the normalized image by dual-gamma function for preserving the local details. It's evidenced that the proposed method have more richer details and better subjective visual quality, comparedwith the other methods. The experimental results depicted in terms of PSNR, MAE and Q. Comparing with the other methods, the proposed method had richer details and better subjective visual quality. © 2017 SPIE.

作者部门遥感与智能信息系统研究中心
DOI10.1117/12.2285168
收录类别EI ; ISTP
ISBN号9781510614055
语种英语
ISSN号0277786X
引用统计
文献类型会议论文
条目标识符http://ir.opt.ac.cn/handle/181661/29913
专题遥感与智能信息系统研究中心
作者单位1.Xi'an Institute of Optics and Precision Mechanics of CAS, Xi'an, 710119, China
2.University of Chinese Academy of Sciences, Beijing, 100049, China
推荐引用方式
GB/T 7714
Lu, Zhuanli,Liu, Jiahang,Chen, Tieqiao,et al. A self-Adaptive remote sensing image enhancement method based on gradient and intensity histogram[C]:SPIE,2017.
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