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» Probability Models for High Dynamic Range Imaging
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CVPR
2004
IEEE
14 years 6 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, ...
APGV
2010
ACM
288views Visualization» more  APGV 2010»
13 years 8 months ago
Statistical regularities in low and high dynamic range images
Computer graphics as well as related disciplines often benefit from understanding the human visual system and its input. In this paper, we study statistical regularities of both ...
Tania Pouli, Douglas Cunningham, Erik Reinhard
AFRIGRAPH
2004
ACM
13 years 10 months ago
A local model of eye adaptation for high dynamic range images
In the real world, the human eye is confronted with a wide range of luminances from bright sunshine to low night light. Our eyes cope with this vast range of intensities by adapta...
Patrick Ledda, Luís Paulo Santos, Alan Chal...
APGV
2005
ACM
250views Visualization» more  APGV 2005»
13 years 10 months ago
A perceptual framework for contrast processing of high dynamic range images
Image processing often involves an image transformation into a domain that is better correlated with visual perception, such as the wavelet domain, image pyramids, multi-scale con...
Rafal Mantiuk, Karol Myszkowski, Hans-Peter Seidel
ACCV
2010
Springer
13 years 7 months ago
Ghost-free High Dynamic Range Imaging
Most high dynamic range image (HDRI) algorithms assume stationary scene for registering multiple images which are taken under different exposure settings. In practice, however, the...
Yong Seok Heo (Seoul National University), Kyoung ...