Rendered image denoising method with filtering guided by lighting information  

作　　者：MA Minghui HU Xiaojuan ZHANG Ripei CHEN Chunyi YU Haiyang 

机构地区：[1]School of Computer Science and Technology,Changchun University of Science and Technology,Changchun 130022,China

出　　处：《Optoelectronics Letters》2025年第4期242-248,共7页光电子快报(英文版)

基　　金：supported by the National Natural Science(No.U19A2063);the Jilin Provincial Development Program of Science and Technology (No.20230201080GX);the Jilin Province Education Department Scientific Research Project (No.JJKH20230851KJ)。

摘　　要：The visual noise of each light intensity area is different when the image is drawn by Monte Carlo method.However,the existing denoising algorithms have limited denoising performance under complex lighting conditions and are easy to lose detailed information.So we propose a rendered image denoising method with filtering guided by lighting information.First,we design an image segmentation algorithm based on lighting information to segment the image into different illumination areas.Then,we establish the parameter prediction model guided by lighting information for filtering(PGLF)to predict the filtering parameters of different illumination areas.For different illumination areas,we use these filtering parameters to construct area filters,and the filters are guided by the lighting information to perform sub-area filtering.Finally,the filtering results are fused with auxiliary features to output denoised images for improving the overall denoising effect of the image.Under the physically based rendering tool(PBRT)scene and Tungsten dataset,the experimental results show that compared with other guided filtering denoising methods,our method improves the peak signal-to-noise ratio(PSNR)metrics by 4.2164 dB on average and the structural similarity index(SSIM)metrics by 7.8%on average.This shows that our method can better reduce the noise in complex lighting scenesand improvethe imagequality.

关 键 词：establish paramet rendered image denoising Monte Carlo method filtering guided lighting information denoising algorithms image segmentation algorithm rendered image denoising method monte carlo methodhoweverthe 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]