BSI PD IEC TR 62977-5-2:2021
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Electronic displays – Visual assessment. Colour discrimination according to viewing direction
Published By | Publication Date | Number of Pages |
BSI | 2021 | 38 |
This part of IEC 62977, which is a Technical Report, describes the visual assessment method of the viewing direction characteristics of display devices. This document reviews the visual assessment of viewing direction by using special test patterns to estimate colour changes, image structure, and image luminance.
Experimental results are shown to reveal the effectiveness of this kind of visual assessment.
This method is a valuable tool for identifying image quality issues, but physical measurements will be used to confirm display performance specifications.
NOTE The visual assessment results will depend on the test pattern parameters and display setup conditions. As the viewing direction changes, characteristics such as contrast ratio, resolution, and device colour-shift simultaneously change in the perceived image.
PDF Catalog
PDF Pages | PDF Title |
---|---|
2 | undefined |
4 | CONTENTS |
6 | FOREWORD |
8 | INTRODUCTION |
9 | 1 Scope 2 Normative references 3 Terms, definitions and abbreviated terms 3.1 Terms and definitions |
10 | 3.2 Abbreviated terms 4 Introduction to visual assessment |
11 | Figures Figure 1 – Comparison between the proposed visual assessmentand the conventional physical measurement |
12 | 5 Standard measuring equipment and coordinate system 5.1 Light measuring devices 5.2 Viewing direction coordinate system Figure 2 – Definition of viewing directions by the spherical angles of θ and φ |
13 | 6 Test patterns 6.1 Geometrical construction Figure 3 – Layout for horizontal viewing direction Tables Table 1 – Measurement directions for DUTs in living rooms |
14 | 6.2 Colour assignment Figure 4 – Pattern structures |
15 | Table 2 – Reference colours of test pattern |
16 | 6.3 Dots fill factor Figure 5 – Colour assignment of test pattern |
17 | 7 Visual assessment method 7.1 General description of the assessment 7.2 Test room conditions Figure 6 – Test environment Table 3 – Test room condition |
18 | 7.3 DUT parameters 7.4 Observers Table 4 – Experimental setup of the DUT |
19 | 7.5 Instructions for visual assessment method Figure 7 – Average CMF according to ethnic origin |
20 | 7.6 Repeatability 7.7 Presentation and interpretation of the experimental assessment results Figure 8 – Assessment procedure |
21 | Figure 9 – Visual assessment results: statistical plot (upper figure)and mean recognition rates (lower figure) |
22 | Figure 10 – Statistical plot (upper) and mean ofcolour differences (lower) of test patterns |
23 | Figure 11 – Process of S-CIELAB transformation Figure 12 – Contrast sensitivity function of HVS |
24 | Figure 13 – S-CIELAB results: statistical plot (upper)and mean colour difference (lower) |
25 | Figure 14 – Correlation between physical measures and S-CIELAB results Figure 15 – Correlation between visual assessment and S-CIELAB method |
26 | Figure 16 – Pattern dependency Table 5 – Correlation coefficients |
27 | Figure 17 – Observer dependency |
28 | Annex A (informative)Fill factor dependency Figure A.1 – Fill factor variation |
29 | Figure A.2 – FF dependency |
30 | Figure A.3 – Colour difference relationship between pictorialimage and test patterns with various FF |
31 | Annex B (informative)Display white luminance dependency Table B.1 – Experimental setup and parameters |
32 | Figure B.1 – Colour reproduction performance of the DUT |
33 | Figure B.2 – White luminance dependency |
34 | Annex C (informative)Pattern generator |
35 | Figure C.1 – Pattern generator user interface |
36 | Bibliography |