论文标题
bipmap：一种预测现代显示上感知运动伪像的工具箱
BiPMAP: A Toolbox for Predictions of Perceived Motion Artifacts on Modern Displays
论文作者
论文摘要
展示动态场景而没有引起观察者可见的动作伪像，这需要展示行业的持续努力。一种可以通过优化显示配置来预测运动伪像并模拟伪像消除的工具，非常需要指导现代展示的设计和制造。尽管有人们的需求，但市场上没有此类工具。在这项研究中，我们提供了一个交互式工具包，双眼感知的运动伪影预测变量（BIPMAP）作为具有GPU加速的可执行文件。 BipMap是用户定义的参数的广泛收集，并通过并排呈现感知的连续运动刺激来直接可视化各种运动伪影。为了进行准确的伪影预测，BipMap利用了人类对比敏感性功能的新型模型有效地模仿人类视觉系统的频率调制。此外，BipMap能够在3D立体显示器中得出各种面积内运动伪影，以进行2D显示和深度失真。
Presenting dynamic scenes without incurring motion artifacts visible to observers requires sustained effort from the display industry. A tool that predicts motion artifacts and simulates artifact elimination through optimizing the display configuration is highly desired to guide the design and manufacture of modern displays. Despite the popular demands, there is no such tool available in the market. In this study, we deliver an interactive toolkit, Binocular Perceived Motion Artifact Predictor (BiPMAP), as an executable file with GPU acceleration. BiPMAP accounts for an extensive collection of user-defined parameters and directly visualizes a variety of motion artifacts by presenting the perceived continuous and sampled moving stimuli side-by-side. For accurate artifact predictions, BiPMAP utilizes a novel model of the human contrast sensitivity function to effectively imitate the frequency modulation of the human visual system. In addition, BiPMAP is capable of deriving various in-plane motion artifacts for 2D displays and depth distortion in 3D stereoscopic displays.
