Texture synthesis for digital painting

Author:

Lewis John-Peter1

Affiliation:

1. Massachusetts Institute of Technology

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.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design,General Computer Science

Reference19 articles.

1. Brodatz P. Texture. Dover New York 1966.]] Brodatz P. Texture. Dover New York 1966.]]

2. Markov random field texture models;Cross G.;IEEE Transactions on Pattern Analysis and Machine Intelligence,1983

3. Computer rendering of stochastic models

Cited by 36 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. End-to-end Procedural Material Capture with Proxy-Free Mixed-Integer Optimization;ACM Transactions on Graphics;2023-07-26

2. Cyclostationary Gaussian noise: theory and synthesis;Computer Graphics Forum;2021-05

3. Prime gradient noise;Computational Visual Media;2021-02-27

4. Simulation of Dendritic Painting;Computer Graphics Forum;2020-05

5. Image Restoration Based on Gradual Reweighted Regularization and Low Rank prior;Mathematical Problems in Engineering;2020-04-22

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3