IOE OpenIR  > 光电探测与信号处理研究室(五室)
A Detail Enhancement and Dynamic Range Adjustment Algorithm for High Dynamic Range Images
Xu Bo; Wang Huachuang; Liang Mingtao; Yu Cong; Hu Jinlong; Cheng Hua; Xu, B (reprint author), Chinese Acad Sci, Inst Opt & Elect, Chengdu 610209, Sichuan, Peoples R China.
Volume9281
Pages92811C
2014
Language英语
ISSN0277-786X
DOI10.1117/12.2068556
Subtype会议论文
AbstractAlthough high dynamic range (HDR) images contain large amounts of information, they have weak texture and low contrast. What's more, these images are difficult to be reproduced on low dynamic range displaying mediums. If much more information is to be acquired when these images are displayed on PCs, some specific transforms, such as compressing the dynamic range, enhancing the portions of little difference in original contrast and highlighting the texture details on the premise of keeping the parts of large contrast, are needed. To this ends, a multi-scale guided filter enhancement algorithm which derives from the single-scale guided filter based on the analysis of non-physical model is proposed in this paper. Firstly, this algorithm decomposes the original HDR images into base image and detail images of different scales, and then it adaptively selects a transform function which acts on the enhanced detail images and original images. By comparing the treatment effects of HDR images and low dynamic range (LDR) images of different scene features, it proves that this algorithm, on the basis of maintaining the hierarchy and texture details of images, not only improves the contrast and enhances the details of images, but also adjusts the dynamic range well. Thus, it is much suitable for human observation or analytical processing of machines.; Although high dynamic range (HDR) images contain large amounts of information, they have weak texture and low contrast. What's more, these images are difficult to be reproduced on low dynamic range displaying mediums. If much more information is to be acquired when these images are displayed on PCs, some specific transforms, such as compressing the dynamic range, enhancing the portions of little difference in original contrast and highlighting the texture details on the premise of keeping the parts of large contrast, are needed. To this ends, a multi-scale guided filter enhancement algorithm which derives from the single-scale guided filter based on the analysis of non-physical model is proposed in this paper. Firstly, this algorithm decomposes the original HDR images into base image and detail images of different scales, and then it adaptively selects a transform function which acts on the enhanced detail images and original images. By comparing the treatment effects of HDR images and low dynamic range (LDR) images of different scene features, it proves that this algorithm, on the basis of maintaining the hierarchy and texture details of images, not only improves the contrast and enhances the details of images, but also adjusts the dynamic range well. Thus, it is much suitable for human observation or analytical processing of machines.
Conference NameProceedings of SPIE: 7TH INTERNATIONAL SYMPOSIUM ON ADVANCED OPTICAL MANUFACTURING AND TESTING TECHNOLOGIES: ADVANCED OPTICAL MANUFACTURING TECHNOLOGIES
Conference Date2014
Citation statistics
Document Type会议论文
Identifierhttp://ir.ioe.ac.cn/handle/181551/7702
Collection光电探测与信号处理研究室(五室)
Corresponding AuthorXu, B (reprint author), Chinese Acad Sci, Inst Opt & Elect, Chengdu 610209, Sichuan, Peoples R China.
Affiliation1.[Xu Bo
2.Wang Huachuang
3.Yu Cong
4.Hu Jinlong
5.Cheng Hua] Chinese Acad Sci, Inst Opt & Elect, Chengdu 610209, Sichuan, Peoples R China
Recommended Citation
GB/T 7714
Xu Bo,Wang Huachuang,Liang Mingtao,et al. A Detail Enhancement and Dynamic Range Adjustment Algorithm for High Dynamic Range Images[C],2014:92811C.
Files in This Item:
File Name/Size DocType Version Access License
2014-2092.pdf(712KB)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
[Xu Bo]'s Articles
[Wang Huachuang]'s Articles
[Liang Mingtao]'s Articles
Baidu academic
Similar articles in Baidu academic
[Xu Bo]'s Articles
[Wang Huachuang]'s Articles
[Liang Mingtao]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Xu Bo]'s Articles
[Wang Huachuang]'s Articles
[Liang Mingtao]'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.