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ShanghaiTech University Knowledge Management System
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]) |
ISSN | 0162-8828 |
卷号 | 41期号:7页码:1545-1558 |
发表状态 | 已发表 |
DOI | 10.1109/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 |
URL | 查看原文 |
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 |
引用统计 | 正在获取...
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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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