软件导刊2024，Vol.23Issue(12)：262-267,6.DOI:10.11907/rjdk.241735
实时体积路径追踪的自适应时空降噪方法
Adaptive Spatiotemporal Denoising Method for Real-time Volumetric Path Tracing
胡梁 1何晓曦 1郭昀辉 1任和 1陈锦伟 1王敏1
作者信息
- 1. 成都信息工程大学 软件工程学院,四川 成都 610225
- 折叠
摘要
Abstract
Volume Path Tracking(VPT)technology has been widely used in the field of volume rendering due to its ability to provide accu-rate global illumination effects.However,when generating rendered images,problems such as frame jitter,flicker,and noise may occur due to insufficient sampling rate or uneven sampling methods.Therefore,an adaptive spatiotemporal denoising method for real-time volume path tracking is proposed.Firstly,reuse available historical samples through time filtering,and use improved feature depth to guide sample reset and reduce ghosting phenomenon;Secondly,to prevent a decline in image quality after sample reset,improved adaptive sampling is used to dynamically adjust the sample size,balancing real-time interactive performance while maintaining image quality;Finally,spatial filtering is used to remove noise in the image that cannot be processed by temporal filtering,in order to further improve the denoising effect.The experi-ment shows that compared with ADTS,SVGF and other methods,the proposed method improves PSNR and SSIM by 0.79 dB and 2.08%,and 4.12 dB and 3.98%,respectively,while preserving more image details in visual effects.关键词
体积路径追踪/降噪/自适应采样/三维重建/实时渲染Key words
volumetric path tracing/denoiser/adaptive sampling/three-dimensional reconstruction/real-time rendering分类
信息技术与安全科学引用本文复制引用
胡梁,何晓曦,郭昀辉,任和,陈锦伟,王敏..实时体积路径追踪的自适应时空降噪方法[J].软件导刊,2024,23(12):262-267,6.
