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A novel Monte Carlo noise reduction operator

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2 Author(s)
Xu, R. ; Central Florida Univ., Orlando, FL, USA ; Pattanaik, S.N.

Monte Carlo noise appears as outliers and as interpixel incoherence in a typical image rendered at low sampling density. Unfortunately, none of the previous approaches can reduce both types of noise in a unified way. In this article, we propose such a unified Monte Carlo noise reduction approach using bilateral filtering. We extended the standard bilateral filtering method and built a new local adaptive noise reduction kernel. The new operator suppresses the outliers and interpixel incoherence in a noniterative way.

Published in:

Computer Graphics and Applications, IEEE  (Volume:25 ,  Issue: 2 )

Date of Publication:

March-April 2005

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