IEEE 3333.1.2-2024
$50.38
IEEE Standard for the Perceptual Quality Assessment of Three Dimensional (3D), Ultra-High Definition (UHD) and High Dynamic Range (HDR) Contents (Approved Draft)
| Published By | Publication Date | Number of Pages |
| IEEE | 2024 |
Revision Standard – Active. The world is witnessing a rapid advance in stereoscopic 3D (S3D), and ultra-high definition (UHD) technology. As a result, there is a need for accurate, quality, and visual comfort assessment techniques to foster the display device industry, as well as signal processing areas. Thorough assessments with respect to the human visual system (HVS) for S3D and UHD contents are presented in this standard. Moreover, several image and video databases are also publicly provided for any research purpose.
PDF Catalog
| PDF Pages | PDF Title |
|---|---|
| 1 | IEEE Std 3333.1.2™-2024 Front cover |
| 2 | Title page |
| 4 | Important Notices and Disclaimers Concerning IEEE Standards Documents |
| 8 | Participants |
| 9 | Introduction |
| 10 | Contents |
| 11 | 1. Overview 1.1 Scope 1.2 Purpose |
| 12 | 1.3 Word usage 2. Normative references |
| 13 | 3. Definitions, acronyms, and abbreviations 3.1 Definitions |
| 14 | 3.2 Acronyms and abbreviations |
| 15 | 4. Overview of the standard 4.1 Quality assessment for 2D contents 4.2 Quality assessment for 3D contents |
| 16 | 4.3 Quality assessment for ultra-high-definition contents 5. Quality assessment for 2D contents 5.1 General 5.2 Single scale structural similarity |
| 18 | 5.3 Multi-scale structural similarity |
| 19 | 5.4 Visual information fidelity for image quality assessment |
| 22 | 5.5 Motion-based perceptual quality assessment of video (MOVIE) |
| 27 | 5.6 Natural image quality evaluator (NIQE) |
| 30 | 5.7 Spatial efficient entropic image and video quality (SpEED-QA) |
| 34 | 5.8 Objective video quality assessment based on perceptually weighted mean squared error |
| 42 | 6. Quality assessment for 3D contents 6.1 General 6.2 Full reference quality assessment of stereoscopic images using disparity-gradient-phase similarity |
| 45 | 6.3 Reduced reference real-time quality assessment of stereoscopic images/video |
| 49 | 6.4 Analysis of human 3D perception in stereo image |
| 55 | 6.5 Spatial quality pooling based on human fine 3D perception |
| 57 | 6.6 Objective image quality assessment of 3D synthesized views |
| 60 | 6.7 A 3D subjective quality prediction model based on depth distortion |
| 64 | 7. Quality of experience assessment for ultra-high-definition contents based on human visual system 7.1 General 7.2 Blind sharpness prediction for ultra-high-definition videos based on the human visual system |
| 71 | 7.3 Visual preference assessment on ultra-high-definition images |
| 75 | 8. The impact of compression and packet losses on 3D perception 8.1 General |
| 76 | 8.2 Description of the proposed 3D video database |
| 77 | 8.3 Subjective experiments |
| 81 | 9. A database of stereoscopic images plus depth 9.1 Description of the proposed stereoscopic image database plus depth |
| 83 | 9.2 Subjective experiment |
| 86 | Annex A (informative) Bibliography |
| 88 | Back cover |
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