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基于可变核的自适应光辐射强度估算
引用本文:王海波,张文辉,杨辉华,周欢. 基于可变核的自适应光辐射强度估算[J]. 计算机应用, 2011, 31(8): 2240-2242. DOI: 10.3724/SP.J.1087.2011.02240
作者姓名:王海波  张文辉  杨辉华  周欢
作者单位:1. 桂林电子科技大学 计算机科学与工程学院,广西 桂林5410042. 湖南科技学院 信息技术与教育系,湖南 永州425000
基金项目:国家自然科学基金资助项目
摘    要:针对传统的K最近邻(K-NN)光辐射强度估算只能通过发射大量的光子、增加光子密度来提高估算精度这一缺陷,提出用具有平滑性的可变核(VK)函数估算光辐射强度,通过计算光子到估算点的距离与该光子预先分配的半径之比,实现与传统估算算法不同的自适应光辐射强度估算。实验结果表明,VK算法不需发射大量光子就能改善图像质量且渲染速度快。

关 键 词:光辐射强度估算   K最邻近算法   可变核函数   自适应
收稿时间:2011-02-16
修稿时间:2011-04-21

Adaptive light radiation intensity estimation based on variable kernel
WANG Hai-bo,ZHANG Wen-hui,YANG Hui-hua,ZHOU Huan. Adaptive light radiation intensity estimation based on variable kernel[J]. Journal of Computer Applications, 2011, 31(8): 2240-2242. DOI: 10.3724/SP.J.1087.2011.02240
Authors:WANG Hai-bo  ZHANG Wen-hui  YANG Hui-hua  ZHOU Huan
Affiliation:1. Department of Information Technology and Education, Hunan University of Science and Engineering, Yongzhou Hunan 425000, China
2. School of Computer Science and Engineering, Guilin University of Electronic Technology, Guilin Guangxi 541004, China
Abstract:The conventional light radiation intensity estimation of K-Nearest Neighbor (K-NN) algorithm can only be improved by increasing the density of photons. The authors replaced the K-NN algorithm with Variable Kernel (VK) method which inherited the properties of smoothing kernel, and estimated the light radiation intensity for different surface point adaptively by calculating the ratio of the assigned radius of each photon to the distance between the photon and the surface point. The experimental results show that the VK algorithm is faster than K-NN algorithm and it can improve image quality without shooting a great number of photos.
Keywords:light radiation intensity estimation   K-Nearest Neighbor (K-NN) algorithm   Variable Kernel (VK)   self-adaptive
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