The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Video enhancement using per-pixel virtual exposures
Abstract
We enhance underexposed, low dynamic range videos by adaptively and independently varying the exposure at each photoreceptor in a post-process. This virtual exposure is a dynamic function of both the spatial neighborhood and temporal history at each pixel. Temporal integration enables us to expand the image's dynamic range while simultaneously reducing noise. Our non-linear exposure variation and denoising filters smoothly transition from temporal to spatial for moving scene elements. Our virtual exposure framework also supports temporally coherent per frame tone mapping. Our system outputs restored video sequences with significantly reduced noise, increased exposure time of dark pixels, intact motion, and improved details.
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Citations
Cites
Bilateral Filtering for Gray and Color Images
Tomasi, C., & Manduchi, R. (2002) · Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271) · doi:10.1109/iccv.1998.710815 · Cited by 8,177
Cited by
Bilateral Filtering: Theory and Applications
Paris, S., Kornprobst, P., Tumblin, J., & Durand, F. (2009) · Foundations and Trends in Computer Graphics and Vision · doi:10.1561/0600000020 · Cited by 586
Automatic Estimation and Removal of Noise from a Single Image
Liu, C., Szeliski, R., Kang, S. B., Zitnick, C. L., & Freeman, W. T. (2008) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2007.1176 · Cited by 486
Fast High‐Dimensional Filtering Using the Permutohedral Lattice
Adams, A., Baek, J., & Davis, M. A. (2010) · Computer Graphics Forum · doi:10.1111/j.1467-8659.2009.01645.x · Cited by 394
Metadata
- Authors
- Bennett, E. P., & McMillan, L.
- Venue
- ACM Transactions on Graphics
- Published
- 2005-07
- Volume
- 24
- Issue
- 3
- Pages
- 845-852
- ISSN
- 0730-0301 (ISSN-L)
- 1557-7368
- OpenAlex
- W2130371553
- Cited by
- 241
- References
- 1
- FWCI
- 17.95
- Type
- journal article
- Language
- en
- Open access
- closed
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
