IEEE 3333.1.4-2022
$50.92
IEEE Recommended Practice for the Quality Assessment of Light Field Imaging (Published)
| Published By | Publication Date | Number of Pages |
| IEEE | 2022 | 69 |
New IEEE Standard – Active. This recommended practice establishes methods of quality assessment of light field imaging based on psycho-physical studies. It also defines metrics for the quality assessment and establishes criteria for subjective assessment of light field imaging, including human factors and judgments, and identifies and quantifies quality degradation including the impact of visual contents, camera settings, compression distortion, interpolation distortion by intermediate view rendering, and structural distortion. The recommended practice addresses a series of visual phenomena that can degrade visualization specifically for light field imaging. Visual environment characteristics and viewing conditions are also part of the scope of the standard, including viewing distance, viewer position, viewing freedom, and display characteristics.
PDF Catalog
| PDF Pages | PDF Title |
|---|---|
| 1 | IEEE Std 3333.1.4™-2022 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 Word usage 2. Normative references |
| 12 | 3. Definitions, acronyms, and abbreviations 3.1 Definitions |
| 13 | 3.2 Acronyms and abbreviations |
| 15 | 4. Use cases, acquisition, visualization, and context characteristics 4.1 Introduction 4.2 Use cases |
| 16 | 4.3 Characteristics of acquisition devices 4.4 Display characteristics |
| 17 | 4.5 Content characteristics |
| 20 | 4.6 Consideration |
| 21 | 5. Influencing factors and impairments for the quality of light field imaging 5.1 Introduction 5.2 Acquisition-related factors |
| 22 | 5.3 Impairments due to light field processing |
| 23 | 5.4 Compression related factors 5.5 Effect of rendering techniques |
| 24 | 6. Subjective assessment of light field visualization 6.1 Introduction 6.2 Subjective quality assessments on light field displays |
| 27 | 6.3 Subjective quality assessment on other display types |
| 29 | 7. Objective assessment of light field visualization quality 7.1 Introduction 7.2 Objective quality assessment of light field content |
| 31 | 7.3 Summaries of quality assessment frameworks |
| 39 | 7.4 Performance assessment of objective quality metrics |
| 40 | 7.5 Considerations |
| 43 | 7.6 Guidelines and recommendations |
| 44 | 8. Datasets 8.1 Introduction 8.2 Review of existing light field datasets |
| 57 | 8.3 A new LF video dataset acquired via plenoptic video camera 8.4 Other datasets 8.5 Considerations |
| 58 | 8.6 Guidelines for the design of light field quality datasets |
| 59 | Annex A (informative) Bibliography |
| 69 | Back cover |
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