Title :
Noise reduction for path traced imaging of participating media
Author :
Qing Xu ; Yu Liu ; Ruijie Zhang ; Shiqiang Bao ; Scopigno, Riccardo ; Sbert, Mateu
Author_Institution :
Sch. of Comput. Sci. & Technol., Tianjin Univ., Tianjin, China
fDate :
Aug. 29 2011-Sept. 2 2011
Abstract :
The paper proposes a new noise reduction technique counteracting noise in path traced images: a filter kernel, referred to as gradient kernel, is defined exploiting the gradient direction of particle density of participating media. The gradient kernel is combined with the bilateral filter, so to enhance it: the rationale is to perform Monte Carlo noise suppression while preserving details in path traced images, exploiting the information inherent in the 3D scenes. The proposed method is applied to path traced images, the rendering results of multiple and non-isotropic light scattering in non-homogeneous participating media. The experimental results show that the novel approach behaves remarkably well both quantitatively and qualitatively.
Keywords :
Monte Carlo methods; filtering theory; image denoising; light scattering; 3D scenes; Monte Carlo noise suppression; filter kernel; gradient kernel; multiple light scattering; noise reduction technique; nonhomogeneous participating media; nonisotropic light scattering; path traced imaging; Kernel; Media; Monte Carlo methods; Noise; Noise reduction; Runtime; Three-dimensional displays;
Conference_Titel :
Signal Processing Conference, 2011 19th European
Conference_Location :
Barcelona