Blind image quality assessment by simulating the visual cortex
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software
Link
https://link.springer.com/content/pdf/10.1007/s00371-022-02614-y.pdf
Reference57 articles.
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2. Thung, K.H., Raveendran, P.: A survey of image quality measures. Int. Conf. Tech. Postgraduates (TECHPOS) 2009, 1–4 (2009). https://doi.org/10.1109/TECHPOS.2009.5412098
3. Ruderman, D. L.:The statistics of natural images. Netw. Comput. Neural Syst. 5(4), 517–548 (1994). https://doi.org/10.1088/0954-898X_5_4_006
4. Moorthy, A.K., Bovik, A.C.: A two-step framework for constructing blind image quality indices. IEEE Signal Process. Lett. 17(5), 513–516 (2010). https://doi.org/10.1109/LSP.2010.2043888
5. Moorthy, A.K., Bovik, A.C.: Blind image quality assessment: from natural scene statistics to perceptual quality. IEEE Trans. Image Process. 20(12), 3350–3364 (2011). https://doi.org/10.1109/TIP.2011.2147325
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