Video Frame Interpolation for High Dynamic Range Sequences Captured with Dual-exposure Sensors
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Date
2023
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association and John Wiley & Sons Ltd.
Abstract
Video frame interpolation (VFI) enables many important applications such as slow motion playback and frame rate conversion. However, one major challenge in using VFI is accurately handling high dynamic range (HDR) scenes with complex motion. To this end, we explore the possible advantages of dual-exposure sensors that readily provide sharp short and blurry long exposures that are spatially registered and whose ends are temporally aligned. This way, motion blur registers temporally continuous information on the scene motion that, combined with the sharp reference, enables more precise motion sampling within a single camera shot. We demonstrate that this facilitates a more complex motion reconstruction in the VFI task, as well as HDR frame reconstruction that so far has been considered only for the originally captured frames, not in-between interpolated frames. We design a neural network trained in these tasks that clearly outperforms existing solutions. We also propose a metric for scene motion complexity that provides important insights into the performance of VFI methods at test time.
Description
CCS Concepts: Computing methodologies -> Computational photography; Image processing
@article{10.1111:cgf.14748,
journal = {Computer Graphics Forum},
title = {{Video Frame Interpolation for High Dynamic Range Sequences Captured with Dual-exposure Sensors}},
author = {Cogalan, Ugur and Bemana, Mojtaba and Seidel, Hans-Peter and Myszkowski, Karol},
year = {2023},
publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
ISSN = {1467-8659},
DOI = {10.1111/cgf.14748}
}