The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Exposure Fusion: A Simple and Practical Alternative to High Dynamic Range Photography
Abstract
We propose a technique for fusing a bracketed exposure sequence into a high quality image, without converting to High dynamic range (HDR) first. Skipping the physically based HDR assembly step simplifies the acquisition pipeline. This avoids camera response curve calibration and is computationally efficient. It also allows for including flash images in the sequence. Our technique blends multiple exposures, guided by simple quality measures like saturation and contrast. This is done in a multiresolution fashion to account for the brightness variation in the sequence. The resulting image quality is comparable to existing tone mapping operators.
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Cites
The Laplacian pyramid as a compact image code
Burt, P., & Adelson, E. (1983) · IEEE Transactions on Communications · doi:10.1109/tcom.1983.1095851 · Cited by 6,077
Cited by
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Ancuti, C. O., Ancuti, C., De Vleeschouwer, C., & Bekaert, P. (2018) · IEEE Transactions on Image Processing · doi:10.1109/tip.2017.2759252 · Cited by 1,357
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
Learning to Enhance Low-Light Image via Zero-Reference Deep Curve Estimation
Li, C., Guo, C., & Chen, C. L. (2021) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2021.3063604 · Cited by 719
Design, integration, and field evaluation of a robotic apple harvester
Silwal, A., Davidson, J. R., Karkee, M., Mo, C., Zhang, Q., & Lewis, K. (2017) · Journal of Field Robotics · doi:10.1002/rob.21715 · Cited by 406
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
Metadata
- Authors
- Mertens, T., Kautz, J., & Van Reeth, F.
- Venue
- Computer Graphics Forum
- Publisher
- Wiley
- Published
- 2009-02-23
- Volume
- 28
- Issue
- 1
- Pages
- 161-171
- ISSN
- 0167-7055 (ISSN-L)
- 1467-8659
- OpenAlex
- W1998393535
- Cited by
- 692
- References
- 1
- FWCI
- 14.32
- Type
- journal article
- Language
- en
- Open access
- closed
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- Mertens, T., Kautz, J., & Van Reeth, F. (2009). Exposure Fusion: A Simple and Practical Alternative to High Dynamic Range Photography. Computer Graphics Forum. https://doi.org/10.1111/j.1467-8659.2008.01171.x
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
