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Content Aware Image Pre-Compensation
2019-07
发表期刊IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (IF:20.8[JCR-2023],22.2[5-Year])
ISSN0162-8828
卷号41期号:7页码:1545-1558
发表状态已发表
DOI10.1109/TPAMI.2018.2839115
摘要

The goal of image pre-compensation is to process an image such that after being convolved with a known kernel, will appear close to the sharp reference image. In a practical setting, the pre-compensated image has significantly higher dynamic range than the latent image. As a result, some form of tone mapping is needed. In this paper, we show how global tone mapping functions affect contrast and ringing in image pre-compensation. We further enhance contrast and reduce ringing by considering the visual saliency. Specifically, we prioritize contrast preservation in salient regions while tolerating more blurriness elsewhere. For quantitative analysis, we design new metrics to measure the contrast of an image with ringing. Specifically, we set out to find its "equivalent ringing-free" image that matches its intensity histogram and uses its contrast as the measure. We illustrate our approach on projector defocus compensation and visual acuity enhancement. Compared with the state-of-the-art, our approach significantly improves the contrast. We also perform user studies to demonstrate that our method can effectively improve the viewing experience for users with impaired vision.

关键词Image deconvolution pre-compensation high contrast ringing-free non-linear tone mapping saliency
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收录类别SCI ; SCIE
资助项目National Science Foundation[IIS-CAREER-0845268]
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号WOS:000470972300002
出版者IEEE COMPUTER SOC
WOS关键词CAMERA RESPONSE FUNCTIONS ; THEORETICAL-ANALYSIS ; ATTENTION ; CONTRAST
原始文献类型Article
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文献类型期刊论文
条目标识符https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/29869
专题信息科学与技术学院
信息科学与技术学院_PI研究组_虞晶怡组
通讯作者Ye, Jinwei
作者单位
1.Louisiana State Univ, Div Comp Sci & Engn, Baton Rouge, LA 70803 USA
2.Plex VR, Baton Rouge, LA 70820 USA
3.Univ Delaware, Newark, DE 19716 USA
4.Microsoft Res, Redmond, WA 98052 USA
5.Shanghai Tech Univ, Shanghai 201210, Peoples R China
推荐引用方式
GB/T 7714
Ye, Jinwei,Ji, Yu,Zhou, Mingyuan,et al. Content Aware Image Pre-Compensation[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,2019,41(7):1545-1558.
APA Ye, Jinwei,Ji, Yu,Zhou, Mingyuan,Kang, Sing Bing,&Yu, Jingyi.(2019).Content Aware Image Pre-Compensation.IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,41(7),1545-1558.
MLA Ye, Jinwei,et al."Content Aware Image Pre-Compensation".IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 41.7(2019):1545-1558.
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