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Parameter Estimation of PuRet Algorithm for Managing Appearance of Material Objects on Display Devices

机译：用于管理显示设备上物料对象外观的PuRet算法的参数估计

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In addition to colors and shapes, factors of material appearance such as glossiness, translucency, and roughness are important for reproducing the realistic feeling of an image. In general, these perceptual qualities are often degraded when reproduced as a digital color image. The authors have aimed to edit the material appearance of an image as measured by a general camera and reproduce it on a general display device. In their previous study, the authors found that the pupil diameter decreases slightly when observing the surface properties of an object and proposed an algorithm called "PuRet" for enhancing the material appearance based on the physiological models of the pupil and retina. However, to obtain an accurate reproduction, it was necessary to manually adjust two types of adaptation parameters in PuRet as related to the retinal response for each scene and the particular characteristics of the display device. This study realizes the management of the appearance of material objects on display devices by automatically deriving the optimum parameters in PuRet from captured RAW image data. The results indicate that the authors succeeded in estimating an adaptation parameter from the median value of the scene luminance as estimated from a RAW image. They also succeeded in estimating another adaptation parameter from the average value of the scene luminance and the luminance contrast value of the output display device. As a result of an experiment using an unknown display device that was not applied to derive the estimation model, it was confirmed that the proposed model works properly. (C) 2019 Society for Imaging Science and Technology.
机译：除了颜色和形状之外，诸如光泽度，半透明性和粗糙度之类的材料外观因素对于再现图像的真实感也很重要。通常，当再现为数字彩色图像时，这些感知质量通常会降低。作者的目的是编辑用普通相机测量的图像的物质外观，并将其再现在普通显示设备上。在他们以前的研究中，作者发现当观察物体的表面特性时瞳孔直径会略有减小，并基于瞳孔和视网膜的生理模型提出了一种称为“ PuRet”的算法，用于增强材料的外观。然而，为了获得精确的再现，需要在PuRet中手动调节两种类型的适应参数，这与针对每个场景的视网膜响应和显示装置的特定特性有关。这项研究通过从捕获的RAW图像数据中自动得出PuRet中的最佳参数，实现了显示设备上物料对象外观的管理。结果表明，作者成功地根据从RAW图像估算的场景亮度中值估算了自适应参数。他们还成功地根据场景亮度的平均值和输出显示设备的亮度对比度值估计了另一个适应参数。作为使用未用于导出估计模型的未知显示设备进行实验的结果，证实了所提出的模型可以正常工作。 （C）2019影像科学与技术学会。

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