Freehand HDR Imaging of Moving Scenes with Simultaneous Resolution Enhancement - Mathematical Image Analysis Group, Saarland University

Supplementary Material Page for Our EUROGRAPHICS Paper

Freehand HDR Imaging of Moving Scenes
with Simultaneous Resolution Enhancement

Limitations of our Alignment Method

This page shows scenarios where our proposed optic flow-based alignment strategy does not produce agreeable results.

As mentioned in the paper, optic flow approaches that rely on a coarse-to-fine warping strategy for handling large displacements fail to estimate large displacements of small objects. This is due to the fact that small objects vanish at coarse levels where their large displacement would have need to be estimated.
Trying to adapt existing or find novel strategies for the solution of this problem is part of our ongoing research.

We offer zip archives for download, which contain all images in JPEG format so that all important information (such as exposure times) are available from the EXIF headers.
To visualise the HDR images, we applied the tone mapping operator of Fattal et al. as implemented in the pfstools package. In addition, we offer to download the HDR images in the RGBE format proposed in G. Ward: Real Pixels. Graphics Gems II, Academic Press, 1992. A C implementation of a read/write library for RGBE data can be found here.

Exposure series Eiffel Tower (1072×712 pixels, exposure times between 1/4000 and 1/320 seconds). Click the images to enlarge them. Download the exposure series as zip archive.

Tone mapped HDR reconstruction after alignment with our proposed optic flow-based method. Download HDR image in RGBE format.

Zooms in marked regions of previous image. Altough the result looks good in general, our method failed to align the persons and the bus, which underwent very large displacements in the series, see above. As a consequence, unpleasant ghosting artefacts occur.