Learning from multi metrics for stereoscopic 3D image quality assessment

Abstract

Quality assessment of stereoscopic 3D images is much more complex than that of 2D images. Quality assessment metrics for 3D images have achieved good performance on symmetric distorted 3D images, while given poor performance on asymmetric distorted 3D images. To further improve the perception consistency for symmetric and asymmetric distorted 3D images… (More)
DOI: 10.1109/IC3D.2016.7823452

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