Impact of Acquisition Distortions on the Quality of Stereoscopic Images

While objective and subjective quality assessment of 2D images and video has been an active research topic in the recent years, emerging 3D technologies require new quality metrics and methodologies taking into account the fundamental differences in the human visual perception and typical distortions of stereoscopic content. Therefore, this paper presents a comprehensive stereoscopic image database that contains a large variety of scenes captured using a stereoscopic camera setup consisting of two HD camcorder with different capture parameters. In addition to the images, the database also provides subjective quality scores obtained using an adapted single stimulus continuous quality scale (SSCQS) method. The resulting mean opinion scores can be used to evaluate the performance of visual quality metrics as well as for the comparison and for the design of new metrics.