NDLI: Guided image filtering for interactive high-quality global illumination

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Guided image filtering for interactive high-quality global illumination

Content Provider	ACM Digital Library
Author	Magnor, Marcus Bauszat, Pablo Eisemann, Martin
Abstract	Interactive computation of global illumination is a major challenge in current computer graphics research. Global illumination heavily affects the visual quality of generated images. It is therefore a key attribute for the perception of photo-realistic images. Path tracing is able to simulate the physical behaviour of light using Monte Carlo techniques. However, the computational burden of this technique prohibits interactive rendering times on standard commodity hardware in high-quality. Trying to solve the Monte Carlo integration with fewer samples results in characteristic noisy images. Global illumination filtering methods take advantage of the fact that the integral for neighbouring pixels may be very similar. Averaging samples of similar characteristics in screen-space may approximate the correct integral, but may result in visible outliers. In this paper, we present a novel path tracing pipeline based on an edge-aware filtering method for the indirect illumination which produces visually more pleasing results without noticeable outliers. The key idea is not to filter the noisy path traced images but to use it as a guidance to filter a second image composed from characteristic scene attributes that do not contain noise by default. We show that our approach better approximates the Monte Carlo integral compared to previous methods. Since the computation is carried out completely in screen-space it is therefore applicable to fully dynamic scenes, arbitrary lighting and allows for high-quality path tracing at interactive frame rates on commodity hardware.
Starting Page	1361
Ending Page	1368
Page Count	8
ISSN	14678659
DOI	10.1111/j.1467-8659.2011.01996.x
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2011-06-27
Publisher Place	Goslar
Access Restriction	One Nation One Subscription (ONOS)
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Computer Graphics and Computer-Aided Design

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