A new stereoscopic image quality assessment database rendered using the
2D-image-plus-depth source, called MCL-3D, is described and the performance
benchmarking of several known 2D and 3D image quality metrics using the MCL-3D
database is presented in this work. Nine image-plus-depth sources are first
selected, and a depth image-based rendering (DIBR) technique is used to render
stereoscopic image pairs. Distortions applied to either the texture image or
the depth image before stereoscopic image rendering include: Gaussian blur,
additive white noise, down-sampling blur, JPEG and JPEG-2000 (JP2K) compression
and transmission error. Furthermore, the distortion caused by imperfect
rendering is also examined. The MCL-3D database contains 693 stereoscopic image
pairs, where one third of them are of resolution 1024x728 and two thirds are of
resolution 1920x1080. The pair-wise comparison was adopted in the subjective
test for user friendliness, and the Mean Opinion Score (MOS) can be computed
accordingly. Finally, we evaluate the performance of several 2D and 3D image
quality metrics applied to MCL-3D. All texture images, depth images, rendered
image pairs in MCL-3D and their MOS values obtained in the subjective test are
available to the public (this http URL) for future
research and development.

本研究介绍了使用 2D 图像加深度源渲染的新立体图像质量评估数据库 MCL-3D，并使用该数据库介绍了几种已知的 2D 和 3D 图像质量度量的性能基准测试。