CASIA OpenIR  > 模式识别国家重点实验室  > 视频内容安全
Realistic Scene Rendition for High Dynamic Range Imaging
Jinhua Wang; De Xu; Bing Li
Source PublicationChinese Journal of Electronics
2010
Volume19Issue:1Pages:75-80
AbstractCurrently, most algorithms for High dynamic range (HDR) images focus on dynamic range compression denoted as tone mapping, which can make more details in the dark areas and highlight areas visible. However, the lighting condition in which the images are taken is not considered, as a result, the mapped images may have color cast. We know that Human visual system (HVS) can perceive a scene regardless of the changes in lighting conditions. Therefore, to obtain an image that corresponds to direct observation of the scene for human eyes, dynamic range compression alone is not sufficient. In this paper, we propose a method called Realistic scene rendition (RSR) to deal with HDR images, which is a model combining the dynamic range compression and chrominance adjustment. The two processes are parallel, which is the most difference from other methods that serve the dynamic range compression as a preprocessing. Furthermore, in order to improve the visual quality of images, we propose a contrast enhancement technique. The results show that RSR can maintain details as well as other tone mapping methods and the visual appearance is more similar to the real-world scene perceived by HVS.
KeywordHigh Dynamic Range Imaging
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/20395
Collection模式识别国家重点实验室_视频内容安全
AffiliationBeijing Jiaotong University
Recommended Citation
GB/T 7714
Jinhua Wang,De Xu,Bing Li. Realistic Scene Rendition for High Dynamic Range Imaging[J]. Chinese Journal of Electronics,2010,19(1):75-80.
APA Jinhua Wang,De Xu,&Bing Li.(2010).Realistic Scene Rendition for High Dynamic Range Imaging.Chinese Journal of Electronics,19(1),75-80.
MLA Jinhua Wang,et al."Realistic Scene Rendition for High Dynamic Range Imaging".Chinese Journal of Electronics 19.1(2010):75-80.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Jinhua Wang]'s Articles
[De Xu]'s Articles
[Bing Li]'s Articles
Baidu academic
Similar articles in Baidu academic
[Jinhua Wang]'s Articles
[De Xu]'s Articles
[Bing Li]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Jinhua Wang]'s Articles
[De Xu]'s Articles
[Bing Li]'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.