.png){kind=icon}
返回
High dynamic range video
.png){kind=icon}
PRE
AI
DOI：10.1145/882262.882270.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Typical video footage captured using an off-the-shelf camcorder suffers from limited dynamic range. This paper describes our approach to generate high dynamic range (HDR) video from an image sequence of a dynamic scene captured while rapidly varying the exposure of each frame. Our approach consists of three parts: automatic exposure control during capture, HDR stitching across neighboring frames, and tonemapping for viewing. HDR stitching requires accurately registering neighboring frames and choosing appropriate pixels for computing the radiance map. We show examples for a variety of dynamic scenes. We also show how we can compensate for scene and camera movement when creating an HDR still from a series of bracketed still photographs.
Keyword:
image processing
video processing
high dynamic range
tonemapping
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
9.5
论文数:
4.7K
被引数:
3.6W
机构
暂无机构信息
引用论文
Evaluating 3D-printed models of coronary anomalies: a survey among clinicians and researchers at a university hospital in the UK.png)
BMJ Open
OAAI
BMJ OpenIF0
OAAI分享收藏 没有更多内容
没有更多内容