To exploit uncertainty masking for adaptive image rendering

To exploit uncertainty masking for adaptive image rendering

For high-quality image rendering using Monte Carlo methods, a large number of samples are required to be computed for each pixel. Adaptive sampling aims to decrease the total number of samples by concentrating samples on difficult regions. However, existing adaptive sampling schemes haven't ful...

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Bibliographic Details
Main Authors: Dong, Lu, Lin, Weisi, Deng, Chenwei, Zhu, Ce, Seah, Hock Soon
Other Authors: School of Computer Engineering
Format: Conference Paper
Language:English
Published: 2013
Subjects:
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Online Access:https://hdl.handle.net/10356/96709
http://hdl.handle.net/10220/18151

Internet

https://hdl.handle.net/10356/96709
http://hdl.handle.net/10220/18151

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