|Title:||Error Metrics for Smart Image Refinement|
Chajdas, Matthäus G.
|Citation:||Journal of WSCG, 2012, vol. 20, no. 2, p. 127-136.|
|Publisher:||Václav Skala - UNION Agency|
|Keywords:||hybridní vykreslování;rasterizace;chybové metriky|
|Keywords in different language:||hybrid rendering;rasterization;error metrics|
|Abstract:||Scanline rasterization is still the dominating approach in real-time rendering. For performance reasons, realtime ray tracing is only used in special applications. However, ray tracing computes better shadows, reflections, refractions, depth-of-field and various other visual effects, which are hard to achieve with a scanline rasterizer. A hybrid rendering approach benefits from the high performance of a rasterizer and the quality of a ray tracer. In this work, a GPU-based hybrid rasterization and ray tracing system that supports reflections, depth-of-field and shadows is introduced. The system estimates the quality improvement that a ray tracer could achieve in comparison to a rasterization based approach. Afterwards, regions of the rasterized image with a high estimated quality improvement index are refined by ray tracing.|
|Rights:||© Václav Skala - UNION Agency|
|Appears in Collections:||Number 2 (2012)|
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