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IEEE 3333.1.4-2022

$43.33

IEEE Recommended Practice for the Quality Assessment of Light Field Imaging (Approved Draft)

Published By Publication Date Number of Pages
IEEE 2022 69
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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
IEEE 3333.1.4-2022
$43.33