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Blue-noise dithered sampling

Published: 24 July 2016 Publication History

Abstract

The visual fidelity of a Monte Carlo rendered image depends not only on the magnitude of the pixel estimation error but also on its distribution over the image. To this end, state-of-the-art methods use high-quality stratified sampling patterns, which are randomly scrambled or shifted to decorrelate the individual pixel estimates. While random pixel decorrelation yields an eye-pleasing whitenoise image error distribution, it is far from perceptually optimal. We show that visual fidelity can be substantially improved by instead correlating the samples among pixels in a way that minimizes the low-frequency content in the output noise. Inspired by digital halftoning, our blue-noise dithered sampling method can produce significantly more faithful images, especially at low sampling rates.

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References

[1]
Lau, D., and Arce, G. 2008. Modern Digital Halftoning, Second Edition. CRC Press.
[2]
Mitchell, D. P. 1991. Spectrally optimal sampling for distribution ray tracing. ACM SIGGRAPH Comput. Graph. 25, 4.
[3]
Ulichney, R. A. 1993. The void-and-cluster method for dither array generation. Proc. SPIE 1913, 332--343.

Cited By

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  • (2024)Efficient Image-Space Shape Splatting for Monte Carlo RenderingACM Transactions on Graphics10.1145/368794343:6(1-11)Online publication date: 19-Dec-2024
  • (2024)FAST: Filter-Adapted Spatio-Temporal Sampling for Real-Time RenderingProceedings of the ACM on Computer Graphics and Interactive Techniques10.1145/36512837:1(1-16)Online publication date: 13-May-2024
  • (2024)Blue noise for diffusion modelsACM SIGGRAPH 2024 Conference Papers10.1145/3641519.3657435(1-11)Online publication date: 13-Jul-2024
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  1. Blue-noise dithered sampling

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    cover image ACM Conferences
    SIGGRAPH '16: ACM SIGGRAPH 2016 Talks
    July 2016
    158 pages
    ISBN:9781450342827
    DOI:10.1145/2897839
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 24 July 2016

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    Author Tags

    1. Monte Carlo
    2. blue noise
    3. dithering
    4. sampling

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    Overall Acceptance Rate 1,822 of 8,601 submissions, 21%

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    Cited By

    View all
    • (2024)Efficient Image-Space Shape Splatting for Monte Carlo RenderingACM Transactions on Graphics10.1145/368794343:6(1-11)Online publication date: 19-Dec-2024
    • (2024)FAST: Filter-Adapted Spatio-Temporal Sampling for Real-Time RenderingProceedings of the ACM on Computer Graphics and Interactive Techniques10.1145/36512837:1(1-16)Online publication date: 13-May-2024
    • (2024)Blue noise for diffusion modelsACM SIGGRAPH 2024 Conference Papers10.1145/3641519.3657435(1-11)Online publication date: 13-Jul-2024
    • (2024)Quasi-Monte Carlo Algorithms (Not Only) for Graphics SoftwareMonte Carlo and Quasi-Monte Carlo Methods10.1007/978-3-031-59762-6_18(373-391)Online publication date: 13-Jul-2024
    • (2023)Decorrelating ReSTIR Samplers via MCMC MutationsACM Transactions on Graphics10.1145/362916643:1(1-15)Online publication date: 19-Oct-2023
    • (2023)Perceptual error optimization for Monte Carlo animation renderingSIGGRAPH Asia 2023 Conference Papers10.1145/3610548.3618146(1-10)Online publication date: 10-Dec-2023
    • (2022)Scalable Multi-Class Sampling via Filtered Sliced Optimal TransportACM Transactions on Graphics10.1145/3550454.355548441:6(1-14)Online publication date: 30-Nov-2022
    • (2022)Perceptual Error Optimization for Monte Carlo RenderingACM Transactions on Graphics10.1145/350400241:3(1-17)Online publication date: 7-Mar-2022
    • (2022)Single‐pass stratified importance resamplingComputer Graphics Forum10.1111/cgf.1458541:4(41-49)Online publication date: 30-Jul-2022
    • (2022)Rendering Along the Hilbert CurveAdvances in Modeling and Simulation10.1007/978-3-031-10193-9_16(319-332)Online publication date: 1-Dec-2022
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