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BSI PD IEC TR 62977-5-2:2021

$167.15

Electronic displays – Visual assessment. Colour discrimination according to viewing direction

Published By Publication Date Number of Pages
BSI 2021 38
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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
BSI PD IEC TR 62977-5-2:2021
$167.15