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Motion Aware Exposure Bracketing for HDR Video
Author(s) -
Gryaditskaya Yulia,
Pouli Tania,
Reinhard Erik,
Myszkowski Karol,
Seidel HansPeter
Publication year - 2015
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/cgf.12684
Subject(s) - ghosting , computer science , high dynamic range , computer vision , bracketing (phenomenology) , artificial intelligence , context (archaeology) , pixel , dynamic range , visualization , multiple exposure , hallucinating , computer graphics (images) , paleontology , philosophy , epistemology , biology
Mobile phones and tablets are rapidly gaining significance as omnipresent image and video capture devices. In this context we present an algorithm that allows such devices to capture high dynamic range (HDR) video. The design of the algorithm was informed by a perceptual study that assesses the relative importance of motion and dynamic range. We found that ghosting artefacts are more visually disturbing than a reduction in dynamic range, even if a comparable number of pixels is affected by each. We incorporated these findings into a real‐time, adaptive metering algorithm that seamlessly adjusts its settings to take exposures that will lead to minimal visual artefacts after recombination into an HDR sequence. It is uniquely suitable for real‐time selection of exposure settings. Finally, we present an off‐line HDR reconstruction algorithm that is matched to the adaptive nature of our real‐time metering approach.