Recent Advances and Challenges of Visual Signal Quality Assessment

Abstract: While quality assessment is essen-tial for testing, optimizing, benchmarking, moni-toring, and inspecting related systems and ser-vices, it also plays an essential role in the de-sign of virtually all visual signal processing and communication algorithms, as well as var-ious related decision-making processes. In this paper, we first provide an overview of recently derived quality assessment approaches for trad-itional visual signals (i.e., 2D images/videos), with highlights for new trends (such as mach-ine learning approaches). On the other hand, with the ongoing development of devices and multimedia services, newly emerged visual signals (e.g., mobile/3D videos) are becoming more and more popular. This work focuses on recent progresses of quality metrics, which have been reviewed for the newly emerged forms of visual signals, which include scalable and mobile videos, High Dynamic Range (HDR) images, image segmentation results, 3D im-ages/videos, and retargeted images. Key words: objective quality assessment; 2D images and videos; human perception; newly emerged visual signals; Human Visual System I