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Picture-level just noticeable difference for symmetrically and asymmetrically compressed stereoscopic images: Subjective quality assessment study and datasets

机译:对称和非对称压缩立体图像的图片级差异明显:主观质量评估研究和数据集

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The Picture-level Just Noticeable Difference (PJND) for a given image and compression scheme reflects the smallest distortion level that can be perceived by an observer with respect to a reference image. Previous work has focused on the PJND of images and videos. In this paper, we study the PJND of symmetrically and asymmetrically compressed stereoscopic images for JPEG2000 and H.265 intra coding. We conduct interactive subjective quality assessment tests to determine the PJND point using both a pristine image and a distorted image as a reference. We find that the PJND points are highly dependent on the image content. In asymmetric compression, there exists a perceptual threshold in the quality difference between the left and right views due to the binocular masking effect. We generate two PJND-based stereo image datasets (one for symmetric compression and one for asymmetric compression) and make them accessible to the public. (C) 2019 Elsevier Inc. All rights reserved.
机译:给定图像和压缩方案的图片级正好注意到差异(PJND)反映了观察者相对于参考图像可以感知到的最小失真级别。先前的工作集中在图像和视频的PJND。在本文中,我们研究了用于JPEG2000和H.265帧内编码的对称和非对称压缩立体图像的PJND。我们进行交互式主观质量评估测试,以原始图像和失真图像为参考来确定PJND点。我们发现PJND点高度依赖于图像内容。在非对称压缩中,由于双眼掩蔽效应,左右视图之间的质量差异存在感知阈值。我们生成了两个基于PJND的立体图像数据集(一个用于对称压缩,一个用于非对称压缩),并使它们可供公众使用。 (C)2019 Elsevier Inc.保留所有权利。

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