iccv iccv2013 iccv2013-164 iccv2013-164-reference knowledge-graph by maker-knowledge-mining
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Author: Mohit Gupta, Daisuke Iso, Shree K. Nayar
Abstract: Exposure bracketing for high dynamic range (HDR) imaging involves capturing several images of the scene at different exposures. If either the camera or the scene moves during capture, the captured images must be registered. Large exposure differences between bracketed images lead to inaccurate registration, resulting in artifacts such as ghosting (multiple copies of scene objects) and blur. We present two techniques, one for image capture (Fibonacci exposure bracketing) and one for image registration (generalized registration), to prevent such motion-related artifacts. Fibonacci bracketing involves capturing a sequence of images such that each exposure time is the sum of the previous N(N > 1) exposures. Generalized registration involves estimating motion between sums of contiguous sets of frames, instead of between individual frames. Together, the two techniques ensure that motion is always estimated betweenframes of the same total exposure time. This results in HDR images and videos which have both a large dynamic range andminimal motion-relatedartifacts. We show, by results for several real-world indoor and outdoor scenes, that theproposed approach significantly outperforms several ex- isting bracketing schemes.
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