形态学抗锯齿

A. Reshetov
{"title":"形态学抗锯齿","authors":"A. Reshetov","doi":"10.1145/1572769.1572787","DOIUrl":null,"url":null,"abstract":"We present a new algorithm that creates plausibly antialiased images by looking for certain patterns in an original image and then blending colors in the neighborhood of these patterns according to a set of simple rules. We construct these rules to work as a post-processing step in ray tracing applications, allowing approximate, yet fast and robust antialiasing. The algorithm works for any rendering technique and scene complexity. It does not require casting any additional rays and handles all possible effects, including reflections and refractions.","PeriodicalId":163044,"journal":{"name":"Proceedings of the Conference on High Performance Graphics 2009","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"80","resultStr":"{\"title\":\"Morphological antialiasing\",\"authors\":\"A. Reshetov\",\"doi\":\"10.1145/1572769.1572787\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present a new algorithm that creates plausibly antialiased images by looking for certain patterns in an original image and then blending colors in the neighborhood of these patterns according to a set of simple rules. We construct these rules to work as a post-processing step in ray tracing applications, allowing approximate, yet fast and robust antialiasing. The algorithm works for any rendering technique and scene complexity. It does not require casting any additional rays and handles all possible effects, including reflections and refractions.\",\"PeriodicalId\":163044,\"journal\":{\"name\":\"Proceedings of the Conference on High Performance Graphics 2009\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"80\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Conference on High Performance Graphics 2009\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1572769.1572787\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Conference on High Performance Graphics 2009","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1572769.1572787","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 80

摘要

我们提出了一种新的算法,该算法通过在原始图像中寻找某些模式,然后根据一组简单的规则在这些模式的邻近区域混合颜色来创建合理的抗锯齿图像。我们构建这些规则作为光线追踪应用程序的后处理步骤,允许近似,但快速和健壮的抗锯齿。该算法适用于任何渲染技术和场景复杂性。它不需要投射任何额外的光线,并处理所有可能的效果,包括反射和折射。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Morphological antialiasing
We present a new algorithm that creates plausibly antialiased images by looking for certain patterns in an original image and then blending colors in the neighborhood of these patterns according to a set of simple rules. We construct these rules to work as a post-processing step in ray tracing applications, allowing approximate, yet fast and robust antialiasing. The algorithm works for any rendering technique and scene complexity. It does not require casting any additional rays and handles all possible effects, including reflections and refractions.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信