基于未来帧的时间性反走样研究及实践  

Future-frame-based temporal anti-aliasing research and practice

作　　者：杜兴盛 吴桐[2] 张靖仪[2] 李根[2] 李鑫 张严辞[1,2] DU Xing-sheng;WU Tong;ZHANG Jing-yi;LI Gen;LI Xin;ZHANG Yan-ci(College of Computer Science,Sichuan University,Chengdu Sichuan 610065,China;National Key Laboratory of Fundamental Science on Synthetic Vision,Sichuan University,Chengdu Sichuan 610065,China;National Airspace Management Center,Beijing 101318,China)

机构地区：[1]四川大学计算机学院,四川成都610065 [2]四川大学视觉合成图形图像技术国家重点学科实验室,四川成都610065 [3]国家空域管理中心,北京101318

出　　处：《图学学报》2022年第1期133-140,共8页Journal of Graphics

基　　金：国家重大项目(GJXM92579)。

摘　　要：时间性反走样算法具有效率优势,是近年来被广泛应用的实时反走样算法之一。该算法通过将采样点平摊至历史多帧及复用历史数据的方式来实现实时反走样。在时域信息采样充分且历史数据可复用的前提下,该算法能取得和超采样反走样算法类似的效果。然而在实际应用中,时间性反走样算法会有几何边缘锯齿、重影及子像素细节缺失等问题。本文以时间性反走样算法为研究基础,针对时间性反走样算法存在的问题,提出了一种基于未来帧的时间性反走样算法。其基本思想是,在使用已有时域信息的基础上,将未经反走样处理的未来一帧纳入时间性反走样,通过使用未来帧的样本,提升几何反走样效果,实现抗重影以及改善子像素细节缺失情况。本文算法提出了可复用未来帧数据提取以及未来帧数据复用的解决方案。实验结果表明,与时间性反走样算法相比,该算法的反走样效果更优。Highly advantageous in efficiency,the algorithm of temporal anti-aliasing has been one of the most widely employed real-time anti-aliasing algorithms in recent years.To achieve real-time anti-aliasing,this algorithm assigns the sampling points to the multiple history frames and reuses historical data.When the sampling information in the time domain is sufficient and historical data is usable,it can achieve a similar effect as supersampling anti-aliasing can.However,problems such as geometric edge jagging,ghosting,and subpixel detail missing will arise in the use of this algorithm in practical applications.Based on the research of temporal anti-aliasing,this thesis proposed the future-frame-based temporal anti-aliasing to solve the problems.The basic idea of the proposed algorithm was that:using the existing information in the time domain,it took the next aliasing future frame into account,using samples in future frame to enhance the geometric anti-aliasing effect,achieve anti-ghosting,and improve the situation of subpixel detail missing.In the process of implementation,this thesis proposed solutions to reusable future data extraction and future data reuse.Experimental results indicate that compared with the temporal anti-aliasing,the proposed algorithm can yield a better effect.

关 键 词：时间性反走样 未来帧 几何反走样 抗重影 子像素细节缺失 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]