Digital video processing
Reconstruction filters in computer-graphics
SIGGRAPH '88 Proceedings of the 15th annual conference on Computer graphics and interactive techniques
SIAM Journal on Optimization
A photon accurate model of the human eye
ACM SIGGRAPH 2005 Papers
Capturing and viewing gigapixel images
ACM SIGGRAPH 2007 papers
ACM Transactions on Graphics (TOG)
Multidimensional image retargeting
SIGGRAPH Asia 2011 Courses
Resolution enhancement by vibrating displays
ACM Transactions on Graphics (TOG)
Tailored displays to compensate for visual aberrations
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
Apparent resolution enhancement for motion videos
Proceedings of the ACM Symposium on Applied Perception
Temporal Coherence Methods in Real-Time Rendering
Computer Graphics Forum
Apparent resolution enhancement for animations
Proceedings of the 27th Spring Conference on Computer Graphics
Adaptive image synthesis for compressive displays
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
Special Section on Advanced Displays: Display adaptive 3D content remapping
Computers and Graphics
Hi-index | 0.00 |
Limited spatial resolution of current displays makes the depiction of very fine spatial details difficult. This work proposes a novel method applied to moving images that takes into account the human visual system and leads to an improved perception of such details. To this end, we display images rapidly varying over time along a given trajectory on a high refresh rate display. Due to the retinal integration time the information is fused and yields apparent super-resolution pixels on a conventional-resolution display. We discuss how to find optimal temporal pixel variations based on linear eye-movement and image content and extend our solution to arbitrary trajectories. This step involves an efficient method to predict and successfully treat potentially visible flickering. Finally, we evaluate the resolution enhancement in a perceptual study that shows that significant improvements can be achieved both for computer generated images and photographs.