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