Automatic noise modeling for ghost-free HDR reconstruction

Granados, Miguel and Kim, Kwang In and Tompkin, James and Theobalt, Christian (2013) Automatic noise modeling for ghost-free HDR reconstruction. ACM Transactions on Graphics, 32 (6). 201:1-201:10. ISSN 0730-0301

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Abstract

High dynamic range reconstruction of dynamic scenes requires careful handling of dynamic objects to prevent ghosting. However, in a recent review, Srikantha et al. [2012] conclude that "there is no single best method and the selection of an approach depends on the user's goal". We attempt to solve this problem with a novel approach that models the noise distribution of color values. We estimate the likelihood that a pair of colors in different images are observations of the same irradiance, and we use a Markov random field prior to reconstruct irradiance from pixels that are likely to correspond to the same static scene object. Dynamic content is handled by selecting a single low dynamic range source image and hand-held capture is supported through homography-based image alignment. Our noise-based reconstruction method achieves better ghost detection and removal than state-of-the-art methods for cluttered scenes with large object displacements. As such, our method is broadly applicable and helps move the field towards a single method for dynamic scene HDR reconstruction.

Item Type:
Journal Article
Journal or Publication Title:
ACM Transactions on Graphics
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1700/1704
Subjects:
ID Code:
69856
Deposited By:
Deposited On:
08 Jul 2014 08:46
Refereed?:
Yes
Published?:
Published
Last Modified:
25 Feb 2020 07:16