OPT OpenIR  > 遥感与智能信息系统研究中心
An automatic image enhancement method based on the improved HCTLS
Chen, Junyu1,2; Liu, Jiahang1; Zhou, Chenghu2,3; Zhu, Feng1,2; Chen, Tieqiao1,2; Zhang, Hang1,2
2018-10-08
Conference Name10th IAPR Workshop on Pattern Recognition in Remote Sensing, PRRS 2018
Source Publication2018 10th IAPR Workshop on Pattern Recognition in Remote Sensing, PRRS 2018
Conference Date2018-08-19
Conference PlaceBeijing, China
PublisherInstitute of Electrical and Electronics Engineers Inc.
Contribution Rank1
Abstract

Remote sensing images often suffer low contrast, and the efficiency and robustness of contrast enhancement for remote sensing images is still a challenge. To meet with the requirements of applications, Liu et al recently proposed a self-adaptive contrast enhancement method (HCTLS) based on the histogram compacting transform (HCT). In this method, some gray levels on which the frequency is smaller than a certain reference, will merged into their adjacent levels for a compact level distribution. However, if the merged levels whose corresponding pixels in some connected regions, local contrast of these connected regions will decrease, even disappear. In this paper, an improved enhancement method (DPHCT) for remote sensing image based on the HCTLS is presented for preserving more the local detail and contrast. Firstly, extracting the connected regions from the enhanced result by HCT where the local contrast is decreased or disappeared. These connected regions are decomposed into the inner regions and the boundary regions adaptively. Then, construct pixel values by using the unified brightness function to maintain the contrast for the connected regions inside. At the same time eliminate stitching lines by using a weighted fusion spliced algorithm to eliminate the problem of borders outstanding in result of intensity roughness. Finally, the image is normalized into [0, 255] by linear stretch. Experimental results indicate that the proposed algorithm not only can enhance the global contrast but also can preserve local contrast and details. ? 2018 IEEE.

Department遥感与智能信息系统研究中心
DOI10.1109/PRRS.2018.8486212
Indexed ByEI
ISBN9781538684795
Language英语
EI Accession Number20184706085075
Citation statistics
Document Type会议论文
Identifierhttp://ir.opt.ac.cn/handle/181661/30863
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;
3.Institute of Geographic Sciences and Natural Resources Research of CAS, Beijing; 100049, China
Recommended Citation
GB/T 7714
Chen, Junyu,Liu, Jiahang,Zhou, Chenghu,et al. An automatic image enhancement method based on the improved HCTLS[C]:Institute of Electrical and Electronics Engineers Inc.,2018.
Files in This Item:
File Name/Size DocType Version Access License
An automatic image e(3593KB)会议论文 开放获取CC BY-NC-SAApplication Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Chen, Junyu]'s Articles
[Liu, Jiahang]'s Articles
[Zhou, Chenghu]'s Articles
Baidu academic
Similar articles in Baidu academic
[Chen, Junyu]'s Articles
[Liu, Jiahang]'s Articles
[Zhou, Chenghu]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Chen, Junyu]'s Articles
[Liu, Jiahang]'s Articles
[Zhou, Chenghu]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.