Saliency-based feature fusion convolutional network for blind image quality assessment
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Link
https://link.springer.com/content/pdf/10.1007/s11760-021-01958-7.pdf
Reference55 articles.
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3. Yue, G., Hou, C., Gu, K., Zhou, T., Zhai, G.: Combining local and global measures for DIBR-synthesized image quality evaluation. IEEE Trans. Image Process. 28(4), 2075 (2018)
4. Yue, G., Yan, W., Zhou, T.: Referenceless quality evaluation of tone-mapped hdr and multi-exposure fused images. IEEE Trans. Ind. Inform. (2019)
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