Thus far, we have studied multi-view 3D image quality evaluation, including visible digital watermarking, in the case of considering coded degradation, region, resistance, and number of viewpoints. As a result, the more we process watermarking in the low frequency domain, the more the assessment tends toward independence from image or video patterns. However, we do not consider color information
... [Show full abstract] in the case where we generate digital watermarking images. In this paper, first, for the 3D CG images encoded and decoded by H.265/HEVC with 8 Viewpoints Parallax Barrier Method, we process the wavelet transformation, and perform embedding for the arrangement of the high and low frequency domain (LL3, HL3, LH3) in the same frequency level per viewpoint. Next, we evaluate the generated image, analyze the results, and classify for RGB pattern and coded degradation using SVM (Support Vector Machine).
