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Image-based Perceptual Editing: Leather 'Authenticity' as a Case Study

机译：基于图像的感知编辑：皮革'真实性'作为案例研究

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AbstractTraditionally, the appearance of an object in an image is edited to elicit a preferred perception. However, the editing method might be arbitrary and might not consider the human perception mechanism. In this study, the authors explored image-based leather “authenticity”editing using an estimation model that considers a perception mechanism derived in their previous work. They created leather rendered images by emphasizing or suppressing image properties corresponding to the “authenticity.” Subsequently, they performed two subjective experiments,one using fully edited images and another using partially edited images whose specular reflection intensity was constant. Participants observed the leather rendered images and evaluated the differences in the perception of “authenticity.” The authors found that the “authenticity”perception could be changed by manipulating the intensity of specular reflection and the texture (grain and surface irregularity) in the images. The results of this study could be used to tune the properties of images to make them more appealing.
机译：Abstractitionally，编辑了图像中的对象的外观，以引出优选的感知。然而，编辑方法可能是任意的，可能不会考虑人类感知机制。在这项研究中，作者探讨了使用估计模型的基于图像的皮革“真实性”编辑，该模型考虑了他们以前的工作中得出的感知机制。它们通过强调或抑制与“真实性”对应的图像属性来创建皮革渲染图像。随后，它们进行了两个主观实验，一个主观实验，使用完全编辑的图像，另一个使用镜面反射强度恒定的部分编辑图像。参与者观察到皮革渲染图像并评估了“真实性”的看法中的差异。作者发现，通过操纵图像中的镜面反射和纹理（谷物和表面不规则性）的强度可以改变“真实性”感知。本研究的结果可用于调整图像的属性，使其更具吸引力。

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