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» Ghost Removal in High Dynamic Range Images
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CVPR
2000
IEEE
15 years 11 months ago
High Dynamic Range Imaging: Spatially Varying Pixel Exposures
While real scenes produce a wide range of brightness variations, vision systems use low dynamic range image detectors that typically provide 8 bits of brightness data at each pixe...
Shree K. Nayar, Tomoo Mitsunaga
MVA
2007
197views Computer Vision» more  MVA 2007»
14 years 11 months ago
A Simple Tone Mapping for High Dynamic Range Image Visualization Using a Pseudo-Hilbert Scan
The Hilbert curve is one of space-filling curves published by G. Peano. There are several applications using this curve, such as image processing, computer graphics, etc. In this ...
Jian Zhang, Sei-ichiro Kamata, Li Tian
CVPR
1999
IEEE
15 years 11 months ago
Background Estimation and Removal Based on Range and Color
Background estimation and removal based on the joint use of range and color data produces superior results than can be achieved with either data source alone. This is increasingly...
Gaile G. Gordon, Trevor Darrell, Michael Harville,...
CVPR
2004
IEEE
15 years 11 months ago
Probability Models for High Dynamic Range Imaging
Methods for expanding the dynamic range of digital photographs by combining images taken at different exposures have recently received a lot of attention. Current techniques assum...
Chris Pal, Richard Szeliski, Matthew Uyttendaele, ...
WSCG
2003
165views more  WSCG 2003»
14 years 10 months ago
High Dynamic Range Image Display Using Level Set Framework
This paper presents a novel solution to the High Dynamic Range (HDR) image compression problem using level set framework. Using level set framework, this method separates the HDR ...
R. Xu, Sumanta N. Pattanaik