DocumentCode :
178124
Title :
Simultaneous HDR and Optic Flow Computation
Author :
Hafner, D. ; Demetz, O. ; Weickert, J.
Author_Institution :
Math. Image Anal. Group, Saarland Univ., Saarbrucken, Germany
fYear :
2014
fDate :
24-28 Aug. 2014
Firstpage :
2065
Lastpage :
2070
Abstract :
Camera shakes and moving objects pose a severe problem in the high dynamic range (HDR) reconstruction from differently exposed images. We present the first approach that simultaneously computes the aligned HDR composite as well as accurate displacement maps. In this way, we can not only cope with dynamic scenes but even precisely represent the underlying motion. We design our fully coupled model transparently in a well-founded variational framework. The proposed joint optimisation has beneficial effects, such as intrinsic ghost removal or HDR-coupled smoothing. Both the HDR images and the optic flows benefit substantially from these features and the induced mutual feedback. We demonstrate this with synthetic and real-world experiments.
Keywords :
cameras; feedback; image reconstruction; image sequences; smoothing methods; HDR images; HDR-coupled smoothing; camera; high dynamic range reconstruction; induced mutual feedback; optic flow computation; Adaptive optics; Cameras; Joints; Motion estimation; Optical feedback; Optical imaging; Optical saturation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition (ICPR), 2014 22nd International Conference on
Conference_Location :
Stockholm
ISSN :
1051-4651
Type :
conf
DOI :
10.1109/ICPR.2014.360
Filename :
6977072
Link To Document :
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