Title

Monte Carlo Noise Reduction Using Bayesian Method In Wavelet Domain

Abstract

A novel post-processing approach for removing Monte Carlo noises in synthetic images is presented in this paper. This paper first presents our findings on the statistical characteristics of the Monte Carlo noise, and then proposes a Bayesian method to remove this noise. The aim of this approach is to efficiently produce high quality synthetic images using Monte Carlo based rendering at low sampling rates. © The Eurographics Association 2005.

Publication Date

12-1-2005

Publication Title

Institute of Mathematics and its Applications - Vision, Video and Graphics 2005, VVG 2005

Number of Pages

117-124

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

84880442936 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84880442936

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