Adaptive Image Space Shading for Motion and Defocus Blur

Vaidyanathan, Karthik; Toth, Robert; Salvi, Marco; Boulos, Solomon; Lefohn, Aaron

Adaptive Image Space Shading for Motion and Defocus Blur

Files

013-021.pdf (936.95 KB)

paper1023_10mbps.mp4 (133.17 MB)

Date

2012

Authors

Vaidyanathan, Karthik
Toth, Robert
Salvi, Marco
Boulos, Solomon
Lefohn, Aaron

Publisher

The Eurographics Association

Abstract

We present a novel anisotropic sampling algorithm for image space shading which builds upon recent advancements in decoupled sampling for stochastic rasterization pipelines. First, we analyze the frequency content of a pixel in the presence of motion and defocus blur.We use this analysis to derive bounds for the spectrum of a surface defined over a two-dimensional and motion-aligned shading space. Second, we present a simple algorithm that uses the new frequency bounds to reduce the number of shaded quads and the size of decoupling cache respectively by 2X and 16X, while largely preserving image detail and minimizing additional aliasing.

        @inproceedings{:10.2312/EGGH/HPG12/013-021
,
booktitle = {Eurographics/ ACM SIGGRAPH Symposium on High Performance Graphics
},
editor = {Carsten Dachsbacher and Jacob Munkberg and Jacopo Pantaleoni
},
title = {{Adaptive Image Space Shading for Motion and Defocus Blur
}},
author = {Vaidyanathan, Karthik and 
Toth, Robert and 
Salvi, Marco and 
Boulos, Solomon and 
Lefohn, Aaron
},
year = {2012
},
publisher = {The Eurographics Association
},
ISSN = {2079-8679
},
ISBN = {978-3-905674-41-5
},
DOI = {/10.2312/EGGH/HPG12/013-021
}
}