High dynamic range video

By ジャナード、ジェイムス, ナットレス、グレーム, マーサー、バイマル, マーサー、ウダイ, ダシルバ、ディーナン, ランド、ピーター、ジャレッド. 2011

495 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/c46e2c9dcc443323c1805b443e599ead73815748

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Citations in the corpus

Deep High Dynamic Range Imaging with Large Foreground Motions (2017, methodology): “There are also more complicated methods [15, 31] that rely on optical flow or its variants to address dense correspondence between image pixels.”
High Dynamic Range Imaging (2015, methodology): “Two alternating exposure levels are commonly used to achieve real-time HDR video capture at 25 fps [66, 86].”
A versatile HDR video production system (2011, methodology): “Nevertheless, researchers have extended this approach to video, by capturing frames with alternating bright and dark exposures [Ginosar et al. 1992; Kang et al. 2003] or using a rolling shutter with varying exposures [Unger and Gustavson 2007; Krymski 2008].”
Attention-Guided Network for Ghost-Free High Dynamic Range Imaging (2019, methodology): “optical flow [15, 16, 46]), but they still suffer from the artifacts due to the estimation error.”
Deep high dynamic range imaging of dynamic scenes (2017, methodology): “Comparison against the approaches by Kang et al. [2003] and Oh”
Learning a Deep Single Image Contrast Enhancer from Multi-Exposure Images (2018, background): “Some multi-exposure image sequences are available in literature [37], [38] and most of them were captured for the study of MEF and stack-based HDR methods.”
Robust patch-based hdr reconstruction of dynamic scenes (2012, background): “Khan et al. [2006] modified the weights of the HDR merging function based on the probability that a pixel is static.”