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Texture synthesis for digital painting

Author:

John-Peter LewisAuthors Info & Claims

ACM SIGGRAPH Computer Graphics, Volume 18, Issue 3

Pages 245 - 252

https://doi.org/10.1145/964965.808605

Published: 01 January 1984 Publication History

Abstract

The problem of digital painting is considered from a signal processing viewpoint, and is reconsidered as a problem of directed texture synthesis. It is an important characteristic of natural texture that detail may be evident at many scales, and the detail at each scale may have distinct characteristics. A “sparse convolution” procedure for generating random textures with arbitrary spectral content is described. The capability of specifying the texture spectrum (and thus the amount of detail at each scale) is an improvement over stochastic texture synthesis processes which are scalebound or which have a prescribed 1/f spectrum. This spectral texture synthesis procedure provides the basis for a digital paint system which rivals the textural sophistication of traditional artistic media. Applications in terrain synthesis and texturing computer-rendered objects are also shown.

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Cited By

Li BShi LMatusik W(2023)End-to-end Procedural Material Capture with Proxy-Free Mixed-Integer OptimizationACM Transactions on Graphics10.1145/359213242:4(1-15)Online publication date: 26-Jul-2023
https://dl.acm.org/doi/10.1145/3592132
Lutz NSauvage BDischler J(2021)Cyclostationary Gaussian noise: theory and synthesisComputer Graphics Forum10.1111/cgf.14262940:2(239-250)Online publication date: 4-Jun-2021
https://doi.org/10.1111/cgf.142629
Taylor SSharpe OPeethambaran J(2021)Prime gradient noiseComputational Visual Media10.1007/s41095-021-0206-z7:3(349-362)Online publication date: 27-Feb-2021
https://doi.org/10.1007/s41095-021-0206-z
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Index Terms

Texture synthesis for digital painting
1. Computing methodologies
  1. Computer graphics
    1. Image manipulation
      1. Texturing
    2. Rendering

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Information & Contributors

Information

Published In

cover image ACM SIGGRAPH Computer Graphics

ACM SIGGRAPH Computer Graphics Volume 18, Issue 3

July 1984

264 pages

ISSN:0097-8930

DOI:10.1145/964965

Issue’s Table of Contents

SIGGRAPH '84: Proceedings of the 11th annual conference on Computer graphics and interactive techniques
January 1984
264 pages
ISBN:0897911385
DOI:10.1145/800031
Chairmen:
David A. Luther,
Richard M. Mueller,
Richard A. Weinberg,
Robert A. Ellis,
Editor:
Hank Christiansen

Copyright © 1984 ACM.

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 January 1984

Published in SIGGRAPH Volume 18, Issue 3

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Cited By

Li BShi LMatusik W(2023)End-to-end Procedural Material Capture with Proxy-Free Mixed-Integer OptimizationACM Transactions on Graphics10.1145/359213242:4(1-15)Online publication date: 26-Jul-2023
https://dl.acm.org/doi/10.1145/3592132
Lutz NSauvage BDischler J(2021)Cyclostationary Gaussian noise: theory and synthesisComputer Graphics Forum10.1111/cgf.14262940:2(239-250)Online publication date: 4-Jun-2021
https://doi.org/10.1111/cgf.142629
Taylor SSharpe OPeethambaran J(2021)Prime gradient noiseComputational Visual Media10.1007/s41095-021-0206-z7:3(349-362)Online publication date: 27-Feb-2021
https://doi.org/10.1007/s41095-021-0206-z
Wang F(2020)Image Restoration Based on Gradual Reweighted Regularization and Low Rank priorMathematical Problems in Engineering10.1155/2020/93654052020(1-11)Online publication date: 22-Apr-2020
https://doi.org/10.1155/2020/9365405
Canabal JOtaduy MKim BEchevarria J(2020)Simulation of Dendritic PaintingComputer Graphics Forum10.1111/cgf.1395539:2(597-606)Online publication date: 13-Jul-2020
https://doi.org/10.1111/cgf.13955
Luongo AFalster VDoest MRibo MEiriksson EPedersen DFrisvad J(2019)Microstructure Control in 3D Printing with Digital Light ProcessingComputer Graphics Forum10.1111/cgf.1380739:1(347-359)Online publication date: 28-Aug-2019
https://doi.org/10.1111/cgf.13807
Cavalier AGilet GGhazanfarpour D(2019)Local spot noise for procedural surface details synthesisComputers and Graphics10.1016/j.cag.2019.10.00385:C(92-99)Online publication date: 1-Dec-2019
https://dl.acm.org/doi/10.1016/j.cag.2019.10.003
Bléron AVergne RHurtut TThollot JWyvill BFu H(2018)Motion-coherent stylization with screen-space image filtersProceedings of the Joint Symposium on Computational Aesthetics and Sketch-Based Interfaces and Modeling and Non-Photorealistic Animation and Rendering10.1145/3229147.3229163(1-13)Online publication date: 17-Aug-2018
https://dl.acm.org/doi/10.1145/3229147.3229163
Galerne BLeclaire AMoisan L(2017)Texton NoiseComputer Graphics Forum10.1111/cgf.1307336:8(205-218)Online publication date: 19-Jan-2017
https://doi.org/10.1111/cgf.13073
Yi ZLi YJi SGong M(2017)Artistic stylization of face photos based on a single exemplarThe Visual Computer: International Journal of Computer Graphics10.1007/s00371-016-1290-433:11(1443-1452)Online publication date: 1-Nov-2017
https://dl.acm.org/doi/10.1007/s00371-016-1290-4
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