The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Robust patch-based hdr reconstruction of dynamic scenes
Abstract
High dynamic range (HDR) imaging from a set of sequential exposures is an easy way to capture high-quality images of static scenes, but suffers from artifacts for scenes with significant motion. In this paper, we propose a new approach to HDR reconstruction that draws information from all the exposures but is more robust to camera/scene motion than previous techniques. Our algorithm is based on a novel patch-based energy-minimization formulation that integrates alignment and reconstruction in a joint optimization through an equation we call the HDR image synthesis equation. This allows us to produce an HDR result that is aligned to one of the exposures yet contains information from all of them. We present results that show considerable improvement over previous approaches.
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Cites
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Self-citationHigh Accuracy Optical Flow Estimation Based on a Theory for Warping
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Recovering high dynamic range radiance maps from photographs
Debevec, P. E., & Malik, J. (2008) · ACM SIGGRAPH 2008 classes · doi:10.1145/1401132.1401174 · Cited by 2,399
A Database and Evaluation Methodology for Optical Flow
Baker, S., Scharstein, D., Lewis, J. P., Roth, S., Black, M. J., & Szeliski, R. (2011) · International Journal of Computer Vision · doi:10.1007/s11263-010-0390-2 · Cited by 2,205
Recovering high dynamic range radiance maps from photographs
Debevec, P. E., & Malik, J. (1997) · Proceedings of the 24th annual conference on Computer graphics and interactive techniques - SIGGRAPH '97 · doi:10.1145/258734.258884 · Cited by 1,775
High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting
Reinhard, E., Ward, G., Pattanaik, S., Debevec, P. E., Heidrich, W., & Myszkowski, K. (2010) · Cited by 1,359
Large Displacement Optical Flow: Descriptor Matching in Variational Motion Estimation
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Cited by
LIME: Low-Light Image Enhancement via Illumination Map Estimation
Guo, X., Li, Y., & Ling, H. (2017) · IEEE Transactions on Image Processing · doi:10.1109/tip.2016.2639450 · Cited by 2,998
Learning a Deep Single Image Contrast Enhancer from Multi-Exposure Images
Cai, J., Gu, S., & Zhang, L. (2018) · IEEE Transactions on Image Processing · doi:10.1109/tip.2018.2794218 · Cited by 1,234
Robust Multi-Exposure Image Fusion: A Structural Patch Decomposition Approach
Ma, K., Li, H., Yong, H., Wang, Z., Meng, D., & Zhang, L. (2017) · IEEE Transactions on Image Processing · doi:10.1109/tip.2017.2671921 · Cited by 355
Attention-Guided Network for Ghost-Free High Dynamic Range Imaging
Yan, Q., Gong, D., Shi, Q., van den Hengel, A., Shen, C., Reid, I., & Zhang, Y. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2019.00185 · Cited by 313
Metadata
- Authors
- Sen, P., Kalantari, N. K., Yaesoubi, M., Darabi, S., Goldman, D. B., & Shechtman, E.
- Venue
- ACM Transactions on Graphics
- Published
- 2012-11
- Volume
- 31
- Issue
- 6
- Pages
- 1-11
- ISSN
- 0730-0301 (ISSN-L)
- 1557-7368
- OpenAlex
- W1995813543
- Cited by
- 433
- References
- 34
- FWCI
- 17.38
- Type
- journal article
- Language
- en
- Open access
- closed
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- Sen, P., Kalantari, N. K., Yaesoubi, M., Darabi, S., Goldman, D. B., & Shechtman, E. (2012). Robust patch-based hdr reconstruction of dynamic scenes. ACM Transactions on Graphics. https://doi.org/10.1145/2366145.2366222
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