SIAT-PJND:Picture-level Just Noticeable Difference based stereo image dataset

We study the Picture-level Just Noticeable Difference (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 generate two PJND-based stereo image datasets, including Shenzhen Institutes of Advanced Technology-picture-level Just noticeable difference-based Symmetric Stereo Image dataset (SIAT-JSSI) and picture-level Just noticeable difference-based Asymmetric Stereo Image dataset (SIAT-JASI). Each dataset includes ten source images, respectively. The PJND_PRI and PJND_DRI are provided. PJND_PRI reveals the minimum distortion against a pristine image. PJND_DRI reveals the minimum distortion against a distorted image.

本研究旨在探讨JPEG2000和H.265内部编码下，对称与非对称压缩的立体图像的图像级别可察觉差异（PJND）。通过交互式主观质量评估测试，我们采用原始图像与失真图像作为参照，以确定PJND的阈值点。据此，我们生成了两个基于PJND的立体图像数据集，包括深圳先进技术研究院图像级别可察觉差异对称立体图像数据集（SIAT-JSSI）和图像级别可察觉差异非对称立体图像数据集（SIAT-JASI）。每个数据集包含十张源图像。其中，PJND_PRI揭示了与原始图像对比的最小失真度，而PJND_DRI则揭示了与失真图像对比的最小失真度。