The VX Lab at NC State studies how visual technologies affect human emotion, thinking and behavior. Our interests span computer graphics, human-computer interfaces, visualization, psychology and design. We post news from both ourselves and others here.
Martin Čadík, Robert Herzog, Rafał Mantiuk, Karol Myszkowski, Hans-Peter SeidelReliable detection of global illumination and rendering artifacts in the form of localized distortion maps is important for many graphics applications. Although many quality metrics have been developed for this task, they are often tuned for compression/transmission artifacts and have not been evaluated in the context of synthetic CG-images. In this work, we run two experiments where observers use a brush-painting interface to directly mark image regions with noticeable/objectionable distortions in the presence/absence of a high-quality reference image, respectively. The collected data shows a relatively high correlation between the with-reference and no-reference observer markings. Also, our demanding per-pixel image-quality datasets reveal weaknesses of both simple (PSNR, MSE, sCIE-Lab) and advanced (SSIM, MS-SSIM, HDR-VDP-2) quality metrics.