Portal de Periódicos da CAPES

Display supersampling

2009; Association for Computing Machinery; Volume: 28; Issue: 1 Linguagem: Inglês

10.1145/1477926.1477935

1557-7368

Niranjan Damera-Venkata, Nelson L. Chang,

Image and Signal Denoising Methods

Supersampling is widely used by graphics hardware to render anti-aliased images. In conventional supersampling, multiple scene samples are computationally combined to produce a single screen pixel. We consider a novel imaging paradigm that we call display supersampling , where multiple display samples are physically combined via the superimposition of multiple image subframes. Conventional anti-aliasing and texture mapping techniques are shown inadequate for the task of rendering high-quality images on supersampled displays. Instead of requiring anti-aliasing filters, supersampled displays actually require alias generation filters to cancel the aliasing introduced by nonuniform sampling. We present fundamental theory and efficient algorithms for the real-time rendering of high-resolution anti-aliased images on supersampled displays. We show that significant image quality gains are achievable by taking advantage of display supersampling. We prove that alias-free resolution beyond the Nyquist limits of a single subframe may be achieved by designing a bank of alias-canceling rendering filters. In addition, we derive a practical noniterative filter bank approach to real-time rendering and discuss implementations on commodity graphics hardware.