Robust statistics and no-reference image quality assessment in Curvelet domain

11 Feb 2019Ramon Giostri Campos • Evandro Ottoni Teatini Salles

This paper uses robust statistics and curvelet transform to learn a general-purpose no-reference (NR) image quality assessment (IQA) model. The new approach, here called M1, competes with the Curvelet Quality Assessment proposed in 2014 (Curvelet2014). The central idea is to use descriptors based on robust statistics to extract features and predict the human opinion about degraded images.

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