🤖 AI Summary
This study addresses the motion jitter caused by low frame rates in foveated rendering, which disrupts visual continuity. To overcome this, we propose the first anti-aliasing strategy based on noise phase modulation. By leveraging Gabor kernel phase shifting and a spatial frequency noise band selection algorithm, our method injects phase-offset noise into the spatiotemporal domain to suppress aliasing, thereby effectively recovering critical motion cues. This approach significantly extends the angular velocity range over which smooth motion is perceived, masking the jitter induced by reduced temporal resolution without introducing noticeable image quality degradation. Ultimately, this work establishes a new paradigm for eliminating temporal artifacts in foveated rendering.
📝 Abstract
Low framerates during rendering arise when frame time exceeds the rendering budget, or can be introduced deliberately to save computation, for example in foveated rendering, where the periphery can be rendered at a reduced spatial and temporal resolution. However, low frame rates also cause non-smooth motion, or judder, degrading perceived image quality. Judder manifests as aliasing in the spatiotemporal frequency domain; temporal filtering, such as blurring, can suppress it, but at an additional computational cost and incur a larger loss of detail. Prior work has shown that inexpensive synthesized noise can compensate for the loss of spatial detail and velocity perception caused by foveation, but its potential for restoring motion cues lost to reduced temporal resolution has not yet been explored. We show that such noise can itself restore these cues: translating a Gabor kernel reduces to a phase shift, and modulating a kernel phase creates a perception of smooth motion without having to fully rerender the noise. We derive a method that, given the on-screen angular velocity and the temporal rendering rate, selects a spatial frequency noise band such that phase shifts perceptually mask judder without introducing motion aliasing of their own. User experiments show that our technique substantially expands the range of angular velocities over which motion at reduced temporal resolution remains smooth, without objectionable degradation of image quality.