Correction: Zhang, N.; Lin, C. The Image Definition Assessment of Optoelectronic Tracking Equipment Based on the BRISQUE Algorithm with Gaussian Weights. Sensors 2023, 23, 1621
References
- 31.
- Han, L.; Lv, H.; Zhao, Y.; Liu, H.; Bi, G.; Yin, Z.; Fang, Y. Conv-Former: A Novel Network Combining Convolution and Self-Attetion for Image Quality Assessment. Sensors 2023, 23, 427.
- 29.
- Mittal, A.; Soundararajan, R.; Bovik, A.C. Making a “Completely Blind” Image Quality Analyzer. IEEE Signal Process. Lett. 2013, 20, 209–212.
- 30.
- Li, C.; Bovik, A.C.;Wu, X. Blind Image Quality Assessment Using a General Regression Neural Network. IEEE Trans. Neural Netw. 2011, 22, 793–799.
- 34.
- Varga, D. No-Reference Video Quality Assessment Using the Temporal Statistics of Global and Local Image Features. Sensors 2022, 22, 9696.
- 32.
- Ruderman, D.L. The Statistics of Natural Images. Netw. Comput. Neural Syst. 1994, 5, 517–548.
- 33.
- Simoncelli, E.P.; Freeman, W.T.; Adelson, E.H.; Heeger, D.J. Shiftable Multiscale Transforms. IEEE Trans. Inf. Theory 1992, 38, 587–607.
Reference
- Zhang, N.; Lin, C. The Image Definition Assessment of Optoelectronic Tracking Equipment Based on the BRISQUE Algorithm with GaussianWeights. Sensors 2023, 23, 1621. [Google Scholar] [CrossRef] [PubMed]
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Zhang, N.; Lin, C. Correction: Zhang, N.; Lin, C. The Image Definition Assessment of Optoelectronic Tracking Equipment Based on the BRISQUE Algorithm with Gaussian Weights. Sensors 2023, 23, 1621. Sensors 2023, 23, 6323. https://doi.org/10.3390/s23146323
Zhang N, Lin C. Correction: Zhang, N.; Lin, C. The Image Definition Assessment of Optoelectronic Tracking Equipment Based on the BRISQUE Algorithm with Gaussian Weights. Sensors 2023, 23, 1621. Sensors. 2023; 23(14):6323. https://doi.org/10.3390/s23146323
Chicago/Turabian StyleZhang, Ning, and Cui Lin. 2023. "Correction: Zhang, N.; Lin, C. The Image Definition Assessment of Optoelectronic Tracking Equipment Based on the BRISQUE Algorithm with Gaussian Weights. Sensors 2023, 23, 1621" Sensors 23, no. 14: 6323. https://doi.org/10.3390/s23146323
APA StyleZhang, N., & Lin, C. (2023). Correction: Zhang, N.; Lin, C. The Image Definition Assessment of Optoelectronic Tracking Equipment Based on the BRISQUE Algorithm with Gaussian Weights. Sensors 2023, 23, 1621. Sensors, 23(14), 6323. https://doi.org/10.3390/s23146323