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.

翻译：在显示器上呈现动态场景而不产生观察者可察觉的运动伪影，一直是显示行业持续努力的方向。通过优化显示器配置来预测运动伪影并模拟其消除效果的工具，对指导现代显示器的设计与制造具有重要需求。尽管市场需求广泛，但目前尚无此类工具面世。本研究开发了一套交互式工具包——双目感知运动伪影预测器（BiPMAP），并以支持GPU加速的可执行文件形式提供。BiPMAP整合了丰富的用户自定义参数，通过并排呈现感知到的连续与采样运动刺激，直接可视化多种运动伪影。为实现精确的伪影预测，BiPMAP采用新型人眼对比度敏感函数模型，有效模拟人类视觉系统的频率调制特性。此外，BiPMAP还具备推导二维显示器的各类面内运动伪影以及三维立体显示器的深度畸变的能力。