Here, we attempt to address the visual quality assessment problem using the 2D-image-plus-depth source. With the DIBR technology, the stereoscopic images rendered and displayed on the 3D display rely on the quality of texture images, depth maps and the rendering technology. Since discomfort caused by watching stereoscopic images may go beyond annoying and lead to psychological dizziness, we cannot over-emphasize the importance of the stereoscopic image/video assessment problem.
Song, Rui, Hyunsuk Ko, and C. C. Kuo. “MCL-3D: a database for stereoscopic image quality assessment using 2D-image-plus-depth source.” arXiv preprint arXiv:1405.1403 (2014). PDF
Contact Info: haiqianw AT usc.edu
9 image-plus-depth sources are first selected in MCL-3D Database, as shown in Figure.2. The distortion types 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, we consider the artifact caused by imperfect rendering. The MCL-3D database contains 693 stereoscopic image pairs, where 1/3 of them are of resolution 1024×728 and 2/3 are of resolution 1920×1080. To be user friendly, the pair-wise comparison was adopted in the subjective test and the Mean Opinion Score (MOS) was computed accordingly. Study on user experience in this perceptual quality assessment process was conducted. Finally, we evaluate the performance of several 2D and 3D image quality metrics applied to MCL-3D.
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