The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
A super-resolution reconstruction algorithm for surveillance images
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Citations
Cites
A universal image quality index
Wang, Z., & Bovik, A. C. (2002) · IEEE Signal Processing Letters · doi:10.1109/97.995823 · Cited by 5,757
Fast and Robust Multiframe Super Resolution
Farsiu, S., Robinson, M. D., Elad, M., & Milanfar, P. (2004) · IEEE Transactions on Image Processing · doi:10.1109/tip.2004.834669 · Cited by 2,090
Improving resolution by image registration
Irani, M., & Peleg, S. (1991) · CVGIP: Graphical Models and Image Processing · doi:10.1016/1049-9652(91)90045-l · Cited by 1,929
Elad, M., & Feuer, A. (1997) · IEEE Transactions on Image Processing · doi:10.1109/83.650118 · Cited by 1,035
Extraction of high-resolution frames from video sequences
Schultz, R. R., & Stevenson, R. L. (1996) · IEEE Transactions on Image Processing · doi:10.1109/83.503915 · Cited by 978
Multi-frame image restoration and registration
Huang, T. S. (1984) · Medical Entomology and Zoology · Cited by 976
Multiframe image restoration and registration
Tsai, R. (1984) · Medical Entomology and Zoology · Cited by 870
Joint MAP registration and high-resolution image estimation using a sequence of undersampled images
Hardie, R. C., Barnard, K. J., & Armstrong, E. E. (1997) · IEEE Transactions on Image Processing · doi:10.1109/83.650116 · Cited by 826
High-resolution image recovery from image-plane arrays, using convex projections
Stark, H., & Oskoui, P. (1989) · Journal of the Optical Society of America A · doi:10.1364/josaa.6.001715 · Cited by 734
Recursive reconstruction of high resolution image from noisy undersampled multiframes
Kim, S. P., Bose, N. K., & Valenzuela, H. M. (1990) · IEEE Transactions on Acoustics Speech and Signal Processing · doi:10.1109/29.56062 · Cited by 520
Cited by
Shi, W., Caballero, J., Huszar, F., Totz, J., Aitken, A. P., Bishop, R., Rueckert, D., & Wang, Z. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.207 · Cited by 7,570
Image super-resolution: the techniques, applications, and future
Yue, L., Shen, H., Li, J., Yuan, Q., Zhang, H., & Zhang, L. (2016) · Signal Processing · doi:10.1016/j.sigpro.2016.05.002 · Cited by 554
Self-citation
Metadata
- Authors
- Zhang, L., Zhang, H., Shen, H., & Li, P.
- Venue
- Signal Processing
- Publisher
- Elsevier BV
- Published
- 2010-03
- Volume
- 90
- Issue
- 3
- Pages
- 848-859
- ISSN
- 0165-1684 (ISSN-L)
- OpenAlex
- W2016482162
- Cited by
- 351
- References
- 28
- FWCI
- 11.36
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A super-resolution reconstruction algorithm for surveillance images. https://app.cochat.ai/papers/10.1016/j.sigpro.2009.09.002
- The paper
- Zhang, L., Zhang, H., Shen, H., & Li, P. (2010). A super-resolution reconstruction algorithm for surveillance images. Signal Processing. https://doi.org/10.1016/j.sigpro.2009.09.002
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
