Xi'an Institute of Optics and Precision Mechanics,CAS
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 | |
会议名称 | 10th IAPR Workshop on Pattern Recognition in Remote Sensing, PRRS 2018 |
会议录名称 | 2018 10th IAPR Workshop on Pattern Recognition in Remote Sensing, PRRS 2018 |
会议日期 | 2018-08-19 |
会议地点 | Beijing, China |
出版者 | Institute of Electrical and Electronics Engineers Inc. |
产权排序 | 1 |
摘要 | 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. |
关键词 | contrast enhancement details preserving connect areas |
作者部门 | 遥感与智能信息系统研究中心 |
DOI | 10.1109/PRRS.2018.8486212 |
收录类别 | EI ; CPCI |
ISBN号 | 9781538684795 |
语种 | 英语 |
ISSN号 | 2377-0198 |
WOS记录号 | WOS:000467742100019 |
EI入藏号 | 20184706085075 |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/30863 |
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; 3.Institute of Geographic Sciences and Natural Resources Research of CAS, Beijing; 100049, China |
推荐引用方式 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. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
An automatic image e(3593KB) | 会议论文 | 限制开放 | CC BY-NC-SA | 请求全文 |
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