.png){kind=icon}
Return
High dynamic range video
.png){kind=icon}
PRE
AI
DOI：10.1145/882262.882270.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
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.
Keywords:
image processing
video processing
high dynamic range
tonemapping
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
9.5
Papers:
4.7K
Citations:
3.6W
Organization
No organization information available
Cited Papers
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
OAAIShareSaveShareSaveShareSave no more
no more