引用本文:王章野,张繁,王作省,邹少芳,廖继渊,崔晓燕,彭群生.基于人眼视觉感知的场景明暗适应动态过程模拟.软件学报,2010,21(zk):111-122
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基于人眼视觉感知的场景明暗适应动态过程模拟
王章野1, 张繁1, 王作省1, 邹少芳2, 廖继渊1, 崔晓燕1, 彭群生1
1.浙江大学 CAD&CG 国家重点实验室,浙江 杭州 310027;2.浙江大学 科技学院 艺术设计学院,浙江 杭州 310023
摘要:
针对现有计算机真实感图形学及虚拟现实主流显示算法不能表现当环境光强骤变时人眼对场景感知变化的缺陷,提出并实现了一个基于人眼感光细胞亮度响应机制的明暗适应过程模拟的增强显示新算法.该算法首先针对人眼中视锥细胞和视杆细胞不同的生理反映机制,利用了双边滤波方法建立起感光细胞接受光刺激后同周边细胞之间的作用关系模型,然后在不同亮度环境下建立起亮度随时间响应的变化模型.结合图像高动态范围图像的色调映射处理模型及实验心理学中的经验模型,并经实验调整不同环境亮度下的生理适应值,通过逆响应变换及颜色适应变换,最终在三维场景中较为逼真地模拟出人眼在明暗适应过程中的对场景的动态感知变化.
关键词:  增强显示  人眼视觉感知  明暗适应过程模拟  亮度响应  高动态范围图像
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基金项目:Supported by the National Basic Research Program of China under Grant No.2009CB320802 (国家重点基础研究发展计划(973)); the National Natural Science Foundation of China under Grant Nos.60833007, 60970075 (国家自然科学基金); the Outstanding Young Team Program of Natural Science Foundation of Zhejiang Province of China under Grant No.R407042 (浙江省自然科学基金杰出青年团队项目)
Human-Eye Visual Perception Based Simulation of Dynamic Process of Light and Dark Adaptation
WANG Zhang-Ye1, ZHANG Fan1, WANG Zuo-Sheng1, ZOU Shao-Fang2, LIAO Ji-Yuan1, CUI Xiao-Yan1, PENG Qun-Sheng1
1.State Key Laboratory of CAD&CG, Zhejiang University, Hangzhou 310058, China;2.Arts and Design Institute, Zhejiang University of Science and Technology, Hangzhou 310023, China
Abstract:
Currently main display algorithms in realistic image synthesis of Computer Graphics and Virtual Reality couldn’t show the scene perception change of human eyes when the environment luminance varies dramatically. To improve the default, this paper proposes and realizes a new enhanced display algorithm based on human eye photoreceptor cell response mechanism to simulate light and dark adaption processes. First, our algorithm bases the different physiological response mechanisms of cone and rod cells of human eyes to establish the interaction model between the photoreceptor cell and its neighboring cell hiring bilateral filtering algorithm. Second, we build the dynamic model of luminance of objects in the scene under various environmental luminance changing with time. Then, by combining the tone mapping model of high dynamic range image, the empirical model of experimental physiology, adjusting the physiological parameters under various environmental luminance, the inverse response transform and chromatic adaptation transform, we finally realistically simulate the dynamic visual perception process of human eye during light and dark adaptation in 3D scene.
Key words:  enhanced display  human-eye visual perception  light and dark adaptation simulation  luminance response  high dynamic range image

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