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Glossiness-aware Image Coding in JPEG Framework

机译：JPEG框架中的光泽感知图像编码

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In images, the representation of glossiness, translucency, and roughness of material objects (Shitsukan) is essential for realistic image reproduction. To date, image coding has been developed considering various indices of the quality of the encoded image, for example, the peak signal-to-noise ratio. Consequently, image coding methods that preserve subjective impressions of qualities such as Shitsukan have not been studied. In this study, the authors focus on the property of glossiness and propose a method of glossiness-aware image coding. Their purpose is to develop an encoding algorithm that produces images that can be decoded by standard JPEG decoders, which are commonly used worldwide. The proposed method consists of three procedures: block classification, glossiness enhancement, and non-glossiness information reduction. In block classification, the types of glossiness in a target image are classified using block units. In glossiness enhancement, the glossiness in each type of block is emphasized to reduce the amount of degradation of glossiness during JPEG encoding. The third procedure, non-glossiness information reduction, further compresses the information while maintaining the glossiness by reducing the information in each block that does not represent the glossiness in the image. To test the effectiveness of the proposed method, the authors conducted a subjective evaluation experiment using paired comparison of images coded by the proposed method and JPEG images with the same data size. The glossiness was found to be better preserved in images coded by the proposed method than in the JPEG images. (C) 2020 Society for Imaging Science and Technology.
机译：在图像中，材料物体（Shitsukan）的光泽度，半透明和粗糙度的表示对于现实图像再现是必不可少的。迄今为止，考虑了编码图像的质量的各种指标，例如，峰值信噪比，已经开发了图像编码。因此，尚未研究维护诸如Shitsukan等质量的主观印象的图像编码方法。在这项研究中，作者侧重于光泽度的性质，并提出了一种光泽感知图像编码方法。它们的目的是开发一种编码算法，该编码算法产生可以由标准JPEG解码器解码的图像，这些图像通常在全球范围内使用。所提出的方法由三个程序组成：块分类，光泽性增强和减少非光泽信息。在块分类中，使用块单元对目标图像中的光泽度的类型进行分类。在光泽度增强中，强调每种块中的光泽度被强调，以减少JPEG编码期间光泽度的降解量。第三种过程，非光泽信息减少，进一步压缩信息，同时通过减少不代表图像中光泽度的每个块中的信息来保持光泽度。为了测试所提出的方法的有效性，作者使用具有所提出的方法和JPEG图像编码的图像的成对比较进行了主观评估实验，具有相同的数据大小。发现光泽度在由所提出的方法编码的图像中更好地保​​存在所提出的方法中的图像中。 （c）2020年影像科技协会。

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