IEEE Std 3333.1.2 pdf free download
IEEE Std 3333.1.2 pdf free download.Perceptual Quality Assessment of Three-Dimensional (3D) and UItra-High-Definition (UHD) Contents.
4. An overview of the standard
4.1 Quality assessment for 3D contents The separated perception of left and right views of stereoscopic 3D stimuli induces various binocular- relevant perception processes in the human visual system, which results in significantly different determination of the visual quality of the 3D stimuli from that of 2D stimuli. Indeed, existing perceptual image-quality-assessment models designed for 2D images generally fail to accurately predict quality scores of 3D images. To analyze and predict the degree of perceptual quality of a 3D content, it is necessary to understand the contents in terms of spatial and temporal characteristics that are based on existing psychophysical and statistical models of binocular visual perception. In addition, a perceptual quality- prediction model of depth-image-based rendering (DIBR)- synthesized views is suggested. Toward this goal, specific artifacts related to DIBR systems need to be considered. Mostly, the subjective assessment is inherited from what has been traditionally done for 2D subjective assessment as defined by ITU-P.910, ITU-R BT.500-13, and ITU-R BT.2021.3 However, it is doubtful whether their results are reliable enough to be used as the reference because the viewing environment is quite different from 2D due to intensive immersion of a user wearing the glasses in dark lighting. Hence, to perform the 3D image and video assessments, new databases shall be required to cover the characteristics of human perception, display mechanism, viewing environment, and so on.
4.2 Quality assessment for ultra-high-definition contents Generally, the UHD systems have much higher resolution, as well as much larger field of view, than HD systems. As a consequence, it is expected that viewers experience more realistic contents on UHD displays. This fosters the study of quality- of-experience issues in UHD systems.
5.3 Reduced reference real-time quality assessment of stereoscopic images/video 5.3.1 General Measuring 3D video quality“on the fly” using full reference (FR) quality metrics is not feasible due to the need for the original 3D video sequence at the receiver-side for comparison. Therefore, this subclause discusses a reduced reference (RR) quality metric for left and right views-based 3D video using the extracted edge information of binocular views. 5.3.2 Stereo image-quality evaluation Luminance and contrast comparisons are carried out to quantify image-quality degradations. The luminance comparison accounts for the overall illumination changes of the scene. The variation of the illumination level of the scene is captured by the contrast comparison. The statistics related to luminance and contrast of the original images are referred to as side-information. This side information is sent to users, which are regarded as receiver-side. At the receiver-side, the same statistics are also calculated from the received image and then compared with the corresponding side-information sent by the sender. The disparity of the images is calculated to quantify depth perception/binocular vision- related artifacts. The edge information generated from the origina/processed left and right views are compared to quantify the structural degradation of the stereoscopic images. The edge-based structural degradation represents the disparity distortion of the 3D video content. If the structural degradation is high, which means disparity of the images is significant, the users will struggle to fuse the views and perceive depth information. User experience will be affected as a result of increased binocular rivalry. The effectiveness of using edges to quantify disparity of the images is demonstrated in Figure 3.
IEEE Std 3333.1.2 pdf download.
