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Blind 3D Image Quality Assessment Based on Multi-scale Feature Learning.

, , , и . IFTC, том 1181 из Communications in Computer and Information Science, стр. 259-267. Springer, (2019)

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Using independent component analysis and binocular combination for stereoscopic image quality assessment., , , и . VCIP, стр. 1-4. IEEE, (2016)Method to quality assessment of stereo images., и . VCIP, стр. 1-4. IEEE, (2016)Blind 3D Image Quality Assessment Based on Multi-scale Feature Learning., , , и . IFTC, том 1181 из Communications in Computer and Information Science, стр. 259-267. Springer, (2019)Subjective Evaluation of Light Field Images for Quality Assessment Database., , , и . IFTC, том 815 из Communications in Computer and Information Science, стр. 267-276. Springer, (2017)Virtual Reality Video Quality Assessment Based on 3d Convolutional Neural Networks., , , и . ICIP, стр. 3187-3191. IEEE, (2019)Video intra prediction using convolutional encoder decoder network., , и . Neurocomputing, (2020)Multi-Models Fusion for Light Field Angular Super-Resolution., , , , и . ICASSP, стр. 2365-2369. IEEE, (2021)Objective Quality Assessment for Light Field Based on Refocus Characteristic., , , и . ICIG (3), том 11903 из Lecture Notes in Computer Science, стр. 193-204. Springer, (2019)Moving traffic object retrieval in H.264/MPEG compressed video., , , , и . Visual Information Processing, том 6246 из SPIE Proceedings, стр. 62460O. SPIE, (2006)A optimized context-based adaptive binary arithmetic coding algorithm in progressive H.264 encoder., , , , , и . Visual Information Processing, том 6246 из SPIE Proceedings, стр. 62460S. SPIE, (2006)