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Edge-aware filters for separable irradiance in global illumination rendering

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Please use this identifier to cite or link to this item: http://hdl.handle.net/1928/21014

Edge-aware filters for separable irradiance in global illumination rendering

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Title: Edge-aware filters for separable irradiance in global illumination rendering
Author: Xiao, Lei
Advisor(s): Sen, Pradeep
Committee Member(s): Sen, Pradeep
Kniss, Joe
Pattichis, Marios
Department: University of New Mexico. Dept. of Electrical and Computer Engineering
Subject(s): Monte Carlo
Global Illumination
Irradiance
Cross Bilateral Filter
Distance Ratio
LC Subject(s): Rendering (Computer graphics)
Three-dimensional imaging.
Shades and shadows.
Digital filters (Mathematics)
Degree Level: Masters
Abstract: Monte Carlo (MC) rendering can produce photorealistic global illumination but results in noise at low sample rates. One way to improve the image quality is to apply noise reduction filters on the samples output by the MC rendering system. The challenge of filtering methods is to preserve the scene and shadow details when removing the MC noise. In this paper, we propose a new filtering algorithm for global illumination in Lambertian scenes. We reconstruct the direct and indirect irradiance with separate edge-aware filters and generate final images with deferred shading. To preserve the shadow edges, we introduce a new feature called distance ratio into our filter. The distance ratio provides a simple and effective way to detect the shadowed regions in image space. We show that our algorithm approximates the MC integral better than previous methods, especially when the scenes are very noisy due to large area light sources or environment maps.
Graduation Date: July 2012
URI: http://hdl.handle.net/1928/21014

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