3D Video Enhancement Based on Human Visual System Characteristics

The most emerging video technologies for cultural and social activities refer to 3D visual data processing and rendering. In fact, the use of 3D images and videos allows end-users to benefit from a depth perception of the recorded scene, being thus suitable for utilizations in entertainment, communication and telephony, training and learning, medicine, and so on. In the present paper, we take into account some characteristics of the human visual perception to define a joint motion-disparity processing approach, which is employed to enhance 3D video contents by reducing the feeling of artificial clarity experienced by the viewers, thus resulting in improved user acceptance and satisfaction. Experimental results have been conducted in terms of subjective tests, in order to evaluate the effectiveness of the proposed 3D video enhancement scheme.