Monte Carlo Noise Reduction Using Bayesian Method in Wavelet domain
| dc.contributor.author | Xu, Ruifeng | en_US |
| dc.contributor.author | Pattanaik, Sumanta N. | en_US |
| dc.contributor.editor | Mike Chantler | en_US |
| dc.date.accessioned | 2016-02-11T13:30:55Z | |
| dc.date.available | 2016-02-11T13:30:55Z | |
| dc.date.issued | 2005 | en_US |
| dc.description.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. | en_US |
| dc.description.sectionheaders | Motion, Synthesis and Computational Methods | en_US |
| dc.description.seriesinformation | Vision, Video, and Graphics (2005) | en_US |
| dc.identifier.doi | 10.2312/vvg.20051015 | en_US |
| dc.identifier.isbn | 3-905673-57-6 | en_US |
| dc.identifier.pages | 117-124 | en_US |
| dc.identifier.uri | https://doi.org/10.2312/vvg.20051015 | en_US |
| dc.publisher | The Eurographics Association | en_US |
| dc.subject | I.4.3 [Image Processing and Computer | en_US |
| dc.title | Monte Carlo Noise Reduction Using Bayesian Method in Wavelet domain | en_US |
Files
Original bundle
1 - 1 of 1