Name
Abstract | ||
|---|---|---|
Subjective and objective measurement of the perceptual quality of depth information in symmetrically and asymmetrically distorted stereoscopic images is a fundamentally important issue in stereoscopic 3D imaging that has not been deeply investigated. Here, we first carry out a subjective test following the traditional absolute category rating protocol widely used in general image quality assessment research. We find this approach problematic, because monocular cues and the spatial quality of images have strong impact on the depth quality scores given by subjects, making it difficult to single out the actual contributions of stereoscopic cues in depth perception. To overcome this problem, we carry out a novel subjective study where depth effect is synthesized at different depth levels before various types and levels of symmetric and asymmetric distortions are applied. Instead of following the traditional approach, we ask subjects to identify and label depth polarizations, and a depth perception difficulty index (DPDI) is developed based on the percentage of correct and incorrect subject judgements. We find this approach highly effective at quantifying depth perception induced by stereo cues and observe a number of interesting effects regarding image content dependency, distortion-type dependence, and the impact of symmetric versus asymmetric distortions. Furthermore, we propose a novel computational model for DPDI prediction. Our results show that the proposed model, without explicitly identifying image distortion types, leads to highly promising DPDI prediction performance. We believe that these are useful steps toward building a comprehensive understanding on 3D quality-of-experience of stereoscopic images. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TIP.2016.2642791 | IEEE Trans. Image Processing |
Keywords | Field | DocType |
Three-dimensional displays,Image quality,Stereo image processing,Distortion,Visualization,Solid modeling,Predictive models | Computer vision,Pattern recognition,Visualization,Stereoscopy,Image quality,Artificial intelligence,Solid modeling,Depth perception,Distortion,Absolute Category Rating,Perception,Mathematics | Journal |
Volume | Issue | ISSN |
26 | 3 | 1057-7149 |
Citations | PageRank | References |
7 | 0.55 | 32 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiheng Wang | 1 | 56 | 6.26 |
| Shiqi Wang | 2 | 1281 | 120.37 |
| Kede Ma | 3 | 773 | 27.93 |
| Z Wang | 4 | 13331 | 630.91 |