No-reference stereoscopic image quality assessment using 3D visual saliency maps fused with three-channel convolutional neural network
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Link
https://link.springer.com/content/pdf/10.1007/s11760-021-01987-2.pdf
Reference41 articles.
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2. Moorthy, A.K., Su, C.C., Mittal, A., et al.: Subjective evaluation of stereoscopic image quality. Signal Process. Image Commun. 28(8), 870–883 (2013)
3. Zhang, W., Borji, A., Wang, Z., et al.: The application of visual saliency models in objective image quality assessment: a statistical evaluation. IEEE Trans. Neural Netw. Learn. Syst. 27(6), 1266–1278 (2016)
4. Häkkinen, A.J., Kawai, T., Takatalo, J., et al.: What do people look at when they watch stereoscopic movies? In: Proceedings of SPIE—The International Society for Optical Engineering, vol. 7524, pp. 75240E-75240E-10 (2010)
5. Jansen, L., Onat, S., König, P.: Influence of disparity on fixation and saccades in free viewing of natural scenes. J. Vis. 9(1), 1–19 (2009)
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