CASIA OpenIR  > 模式识别国家重点实验室  > 视频内容安全
An Adaptive Tone Mapping Method for Displaying High Dynamic Range Images
Jinhua Wang; De Xu; Bing Li
Source PublicationJournal of Information Science and Engineering
2010
Volume26Issue:3Pages:977-990
AbstractBilateral filter based tone mapping for rendering High Dynamic Range (HDR) images can not display all details in dark or highlight areas of an image. In order to solve the problem, we propose a Local Adaptive Bilateral Filter (LABF) method having threefold improvement over the bilateral filter based method. First, since less correlation between luminance and chrominance can produce better performance, we choose YUV color space with less correlation between luminance and chrominance, and only the luminance component Y is compressed. Second, to imitate the human response to light, we adjust the logarithmic base adaptively depending on each pixel's luminance value. This strategy can provide good contrast and detail preservation in dark areas while achieving the compression of high luminance range. Third, we propose an improved center/surround method to enhance visibility in the highlight or relatively darker areas further, which is a non-linear function with a weighted average of surrounding pixel values serving a variable. The experimental results show that the proposed method LABF can obtain satisfactory results on various images with different scene contents.
KeywordTone Mapping
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/20394
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. An Adaptive Tone Mapping Method for Displaying High Dynamic Range Images[J]. Journal of Information Science and Engineering,2010,26(3):977-990.
APA Jinhua Wang,De Xu,&Bing Li.(2010).An Adaptive Tone Mapping Method for Displaying High Dynamic Range Images.Journal of Information Science and Engineering,26(3),977-990.
MLA Jinhua Wang,et al."An Adaptive Tone Mapping Method for Displaying High Dynamic Range Images".Journal of Information Science and Engineering 26.3(2010):977-990.
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