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Referenceless image quality assessment by saliency, color-texture energy, and gradient boosting machines.

, , and . J. Braz. Comp. Soc., 24 (1): 9:1-9:16 (2018)

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Video quality assessment using visual attention computational models., and . J. Electronic Imaging, 23 (6): 061107 (2014)Blind image quality assessment based on multiscale salient local binary patterns., , , and . MMSys, page 52-63. ACM, (2018)Towards a Referenceless Visual Quality Assessment Model Using Binarized Statistical Image Features., , and . BRACIS, page 236-241. IEEE Computer Society, (2018)No-Reference Image Quality Assessment Using Orthogonal Color Planes Patterns., , and . IEEE Trans. Multim., 20 (12): 3353-3360 (2018)A framework for computationally efficient video quality assessment., , and . Signal Process. Image Commun., (2019)Using multiple spatio-temporal features to estimate video quality., , and . Signal Process. Image Commun., (2018)Blind Image Quality Assessment Using Multiscale Local Binary Patterns., , and . IQSP, page 7-14. Society for Imaging Science and Technology, (2017)No-reference image quality assessment based on statistics of Local Ternary Pattern., , and . QoMEX, page 1-6. IEEE, (2016)Referenceless image quality assessment by saliency, color-texture energy, and gradient boosting machines., , and . J. Braz. Comp. Soc., 24 (1): 9:1-9:16 (2018)Incorporating visual attention models into video quality metrics., and . IQSP, volume 9016 of SPIE Proceedings, page 90160O. SPIE, (2014)