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29 February 2008 A novel quality metric for evaluating depth distribution of artifacts in coded 3D images
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Proceedings Volume 6803, Stereoscopic Displays and Applications XIX; 680307 (2008)
Event: Electronic Imaging, 2008, San Jose, California, United States
The two-dimensional quality metric Peak-Signal-To-Noise-Ratio (PSNR) is often used to evaluate the quality of coding schemes for different types of light field based 3D-images, e.g. integral imaging or multi-view. The metric results in a single accumulated quality value for the whole 3D-image. Evaluating single views -- seen from specific viewing angles -- gives a quality matrix that present the 3D-image quality as a function of viewing angle. However, these two approaches do not capture all aspects of the induced distortion in a coded 3D-image. We have previously shown coding schemes of similar kind for which coding artifacts are distributed differently with respect to the 3D-image's depth. In this paper we propose a novel metric that captures the depth distribution of coding-induced distortion. Each element in the resulting quality vector corresponds to the quality at a specific depth. First we introduce the proposed full-reference metric and the operations on which it is based. Second, the experimental setup is presented. Finally, the metric is evaluated on a set of differently coded 3D-images and the results are compared, both with previously proposed quality metrics and with visual inspection.
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Roger Olsson and Mårten Sjöström "A novel quality metric for evaluating depth distribution of artifacts in coded 3D images", Proc. SPIE 6803, Stereoscopic Displays and Applications XIX, 680307 (29 February 2008);

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