FlexHDR: Modelling Alignment and Exposure Uncertainties for Flexible HDR Imaging

• URL: http://arxiv.org/abs/2201.02625v1
• Date: Fri, 7 Jan 2022 14:27:17 GMT
• Title: FlexHDR: Modelling Alignment and Exposure Uncertainties for Flexible HDR Imaging
• Authors: Sibi Catley-Chandar, Thomas Tanay, Lucas Vandroux, Ale\v{s} Leonardis, Gregory Slabaugh, Eduardo P\'erez-Pellitero
• Abstract summary: We present a new HDR imaging technique that models alignment and exposure uncertainties to produce high quality HDR results. We introduce a strategy that learns to jointly align and assess the alignment and exposure reliability using an HDR-aware, uncertainty-driven attention map. Experimental results show our method can produce better quality HDR images with up to 0.8dB PSNR improvement to the state-of-the-art.
• Score: 0.9185931275245008
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: High dynamic range (HDR) imaging is of fundamental importance in modern digital photography pipelines and used to produce a high-quality photograph with well exposed regions despite varying illumination across the image. This is typically achieved by merging multiple low dynamic range (LDR) images taken at different exposures. However, over-exposed regions and misalignment errors due to poorly compensated motion result in artefacts such as ghosting. In this paper, we present a new HDR imaging technique that specifically models alignment and exposure uncertainties to produce high quality HDR results. We introduce a strategy that learns to jointly align and assess the alignment and exposure reliability using an HDR-aware, uncertainty-driven attention map that robustly merges the frames into a single high quality HDR image. Further, we introduce a progressive, multi-stage image fusion approach that can flexibly merge any number of LDR images in a permutation-invariant manner. Experimental results show our method can produce better quality HDR images with up to 0.8dB PSNR improvement to the state-of-the-art, and subjective improvements in terms of better detail, colours, and fewer artefacts.

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