We start to lack the processing power and bandwidth to drive 8K and high-resolution head-mounted displays. However, as the human eye and visual system have their own limitations, the relevant question is what spatial and temporal resolution is the ultimate limit for any technology. In this talk, I will review the visual models of spatio-temporal and chromatic contrast sensitivity which can explain such limitations. Then I will show how they can be used to reduce rendering cost in VR-applications, find more efficient encoding of high dynamic range images and compress images in a visually lossless manner.
Rafał K. Mantiuk is Reader (Associate Professor) at the Department of Computer Science and Technology, University of Cambridge (UK). He received PhD from the Max-Planck-Institute for Computer Science (Germany). His recent interests focus on computational displays, novel display technologies, rendering and imaging algorithms that adapt to human visual performance and viewing conditions in order to deliver the best images given limited resources, such as computation time, bandwidth or dynamic range. He contributed to early work on high dynamic range imaging, including quality metrics (HDR-VDP), video compression and tone-mapping. Further details.