No-reference noisy image quality assessment incorporating features of entropy, gradient, and kurtosis
Author:
Publisher
Zhejiang University Press
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing
Link
https://link.springer.com/content/pdf/10.1631/FITEE.2000716.pdf
Reference50 articles.
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2. Buczkowski M, 2018. Non-reference image quality assessment based on noise estimation. Proc 25th Int Conf on Systems, Signals and Image Processing, p.1–4. https://doi.org/10.1109/IWSSIP.2018.8439331
3. Chang CC, Lin CJ, 2011. LIBSVM: a library for support vector machines. ACM Trans Intell Syst Technol, 2(3):27. https://doi.org/10.1145/1961189.1961199
4. Chen DQ, Wang YZ, Gao W, 2020. No-reference image quality assessment: an attention driven approach. IEEE Trans Image Process, 29:6496–6506. https://doi.org/10.1109/TIP.2020.2990342
5. Deng CW, Wang SG, Bovik AC, et al., 2020. Blind noisy image quality assessment using sub-band kurtosis. IEEE Trans Cybern, 50(3):1146–1156. https://doi.org/10.1109/TCYB.2018.2889376
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