Adaptive sampling and reconstruction using greedy error minimization
- 12 December 2011
- journal article
- research article
- Published by Association for Computing Machinery (ACM) in ACM Transactions on Graphics
- Vol. 30 (6), 1-12
- https://doi.org/10.1145/2070781.2024193
Abstract
We introduce a novel approach for image space adaptive sampling and reconstruction in Monte Carlo rendering. We greedily minimize relative mean squared error (MSE) by iterating over two steps. First, given a current sample distribution, we optimize over a discrete set of filters at each pixel and select the filter that minimizes the pixel error. Next, given the current filter selection, we distribute additional samples to further reduce MSE. The success of our approach hinges on a robust technique to select suitable per pixel filters. We develop a novel filter selection procedure that robustly solves this problem even with noisy input data. We evaluate our approach using effects such as motion blur, depth of field, interreflections, etc. We provide a comparison to a state-of-the-art algorithm based on wavelet shrinkage and show that we achieve significant improvements in numerical error and visual image quality. Our approach is simple to implement, requires a single user parameter, and is compatible with standard Monte Carlo rendering.Keywords
Funding Information
- Swiss National Science Foundation (200021_127166)
This publication has 19 references indexed in Scilit:
- Temporal light field reconstruction for rendering distribution effectsACM Transactions on Graphics, 2011
- Frequency analysis and sheared filtering for shadow light fields of complex occludersACM Transactions on Graphics, 2011
- Adaptive wavelet renderingACM Transactions on Graphics, 2009
- Micro-rendering for scalable, parallel final gatheringACM Transactions on Graphics, 2009
- Frequency analysis and sheared reconstruction for rendering motion blurACM Transactions on Graphics, 2009
- Fourier depth of fieldACM Transactions on Graphics, 2009
- Multidimensional adaptive sampling and reconstruction for ray tracingACM Transactions on Graphics, 2008
- Combining edges and points for interactive high-quality renderingACM Transactions on Graphics, 2003
- Optimal spatial adaptation to inhomogeneous smoothness: an approach based on kernel estimates with variable bandwidth selectorsThe Annals of Statistics, 1997
- Generating antialiased images at low sampling densitiesACM SIGGRAPH Computer Graphics, 1987