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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
Conference NameApplied Optics and Photonics China: Optical Sensing and Imaging Technology and Applications, AOPC 2017
Source PublicationAOPC 2017: Optical Sensing and Imaging Technology and Applications
Volume10462
Conference Date2017-06-04
Conference PlaceBeijing, China
PublisherSPIE
Contribution Rank1
Abstract

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.

Department遥感与智能信息系统研究中心
DOI10.1117/12.2285168
Indexed ByEI ; ISTP
ISBN9781510614055
Language英语
ISSN0277786X
Citation statistics
Document Type会议论文
Identifierhttp://ir.opt.ac.cn/handle/181661/29913
Collection遥感与智能信息系统研究中心
Affiliation1.Xi'an Institute of Optics and Precision Mechanics of CAS, Xi'an, 710119, China
2.University of Chinese Academy of Sciences, Beijing, 100049, China
Recommended Citation
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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