Browsing School of Engineering by Subject "image quality assessment"
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Robustness and prediction accuracy of machine learning for objective visual quality assessment
(2014)Machine Learning (ML) is a powerful tool to support the development of objective visual quality assessment metrics, serving as a substitute model for the perceptual mechanisms acting in visual quality appreciation. ...
