|Title:||Adaptive Filtering for Progressive Monte Carlo Image Rendering|
Willems, Yves D.
|Citation:||WSCG '2000: Conference proceeding: The 8th International Conference in Central Europe on Computers Graphics, Visualization and Interaktive Digital Media '2000 in cooperation with EUROGRAPHICS and IFIP WG 5.10: University of West Bohemia, Plzen, Czech republic, February 7 - 10, 2000, p. 220-227.|
|Publisher:||University of West Bohemia|
|Document type:||konferenční příspěvek|
|Keywords:||globální osvětlení;Monte Carlo;odhad hustoty;trasování cesty;filtrování obrazu|
|Keywords in different language:||global illumination;Monte Carlo;density estimation;path tracing;image filtering|
|Abstract:||Image filtering is often applied as a post-process to Monte Carlo generated pictures, in order to reduce noise. In this paper we present an algorithm based on density estimation techniques that applies an energy preserving adaptive kernel filter to individual samples during image rendering. The used kernel widths diminish as the number of samples goes up, ensuring a reasonable noise versus bias trade-off at any time. This results in a progressive algorithm, that still converges asymptotically to a correct solution. Results show that general noise as well as spike noise can effectively be reduced. Many interesting extensions are possible, making this a very promising technique for Monte Carlo image synthesis.|
|Rights:||© University of West Bohemia|
|Appears in Collections:||WSCG '2000: Conference proceeding|
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