Technical Report

Multi-view 3D CG Image Quality Assessment by Using S-CIELAB Color Space Including Visible Digital Watermarking by Regions in case the Background Region is Gray Scale

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Abstract

Previously, we studied about multi-view 3D CG image quality evaluation including visible digital watermarking by regions. As a result, it becomes clear that there was the mutual relationship between the watermarking by regions and the coded image quality for the multi-view 3D image. However, it is not clear that there is the relation between two focus points whether background region is color or gray scale. On the other hand, it is possible for assessors to focus on the object mutually by using gray scale for the background region of an image. Therefore, in case the background region is gray scale, we need to clear the relation among the gray scale background, the watermarking by regions, and the coded image quality by evaluating for the multi-view 3D CG image quality including the watermarking by regions. In this paper, first, we carried out the subjective quality assessment of 3D CG images including visible digital watermarking by regions with 8 viewpoints parallax barrier method. From results, we analyzed and classified the evaluation values statistically for the image region and the coded image quality by Support Vector Machine (SVM). On the other hand, we measured the luminance for the generated images by using S-CIELAB color space, and we also measured the color difference by using CIEDE2000. We carried out the objective assessments by these measurements, and compared to subjective assessment mutually.

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Presentation
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