Adaptive Spatiotemporal Denoising Method for Real-time Volumetric Path Tracing
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.
国家科技期刊平台
NSTL
万方数据
