Parallel adaptive sampling and reconstruction using multi-scale and directional analysis

ISCAS OpenIR

	Parallel adaptive sampling and reconstruction using multi-scale and directional analysis
	Liu, Xiao Dan (1); Zheng, Chang Wen (1); Liu, X.D.(lxdfigo@163.com)
	2013
页码	501-511
收录类别	SCI ; EI
出版地	Springer Verlag
ISSN	1782789
部门归属	(1) National Key Laboratory of Integrated Information System Technology, Institute of Software, Chinese Academy of Sciences, Beijing, China; (2) Graduate University of Chinese Academy of Sciences, Beijing, China
摘要	We propose a novel parallel image space adaptive rendering approach. Contourlet transform which includes Laplacian pyramid and directional filter banks is modified for multi-scale and directional analysis in our algorithm. In sampling stage, the image space is coarsely sampled first. The sampled image is analyzed into coarse and difference values in multi-scale using Laplacian pyramid transform. Based on the analysis, a heuristic method is proposed to repeatedly distribute adaptive Monte Carlo samples. In reconstruction stage, the final image is reconstructed by filtering each pixel using our anisotropic per-pixel filter. The filter size depends on the variance and attenuation values. The filter's anisotropic property is computed by the directional filter banks. Compared to the state-of-the-art image space adaptive rendering methods, the results rendered by our algorithm show improvement in both visual image quality and numerical error while using sparse samples. © 2013 Springer-Verlag Berlin Heidelberg.; We propose a novel parallel image space adaptive rendering approach. Contourlet transform which includes Laplacian pyramid and directional filter banks is modified for multi-scale and directional analysis in our algorithm. In sampling stage, the image space is coarsely sampled first. The sampled image is analyzed into coarse and difference values in multi-scale using Laplacian pyramid transform. Based on the analysis, a heuristic method is proposed to repeatedly distribute adaptive Monte Carlo samples. In reconstruction stage, the final image is reconstructed by filtering each pixel using our anisotropic per-pixel filter. The filter size depends on the variance and attenuation values. The filter's anisotropic property is computed by the directional filter banks. Compared to the state-of-the-art image space adaptive rendering methods, the results rendered by our algorithm show improvement in both visual image quality and numerical error while using sparse samples. © 2013 Springer-Verlag Berlin Heidelberg.
关键词	Contourlet Adaptive Sampling Anisotropic Filter Multi-scale Analysis
语种	英语
WOS记录号	WOS:000319478400005
引用统计
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/16555
专题	中国科学院软件研究所
通讯作者	Liu, X.D.(lxdfigo@163.com)
推荐引用方式 GB/T 7714	Liu, Xiao Dan ,Zheng, Chang Wen ,Liu, X.D.. Parallel adaptive sampling and reconstruction using multi-scale and directional analysis[C]. Springer Verlag,2013:501-511.