Title :
Simultaneous HDR and Optic Flow Computation
Author :
Hafner, D. ; Demetz, O. ; Weickert, J.
Author_Institution :
Math. Image Anal. Group, Saarland Univ., Saarbrucken, Germany
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;
Conference_Titel :
Pattern Recognition (ICPR), 2014 22nd International Conference on
Conference_Location :
Stockholm
DOI :
10.1109/ICPR.2014.360