BSI PD IEC/TR 62977-3-2:2016
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Electronic display devices – Evaluation of optical characteristics. Mura
Published By | Publication Date | Number of Pages |
BSI | 2016 | 32 |
This part of IEC 62977, which is a Technical Report, provides an optical measuring method of mura for electronic displays. It defines general measuring procedures for mura measurement and an evaluation method of electronic displays.
PDF Catalog
PDF Pages | PDF Title |
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4 | CONTENTS |
6 | FOREWORD |
8 | INTRODUCTION |
9 | 1 Scope 2 Normative references 3 Terms and definitions |
10 | 4 Standard measuring conditions 4.1 Standard measuring conditions 4.1.1 Standard measuring environmental conditions 4.1.2 Standard measuring darkroom conditions 4.2 Light measuring device (LMD) |
11 | 4.3 Measuring setup 4.4 Test signal Figures Figure 1 – Measuring layout Tables Table 1 – Example of reported criteria of two-dimensional LMD |
12 | 4.5 Measuring conditions 5 Standard evaluation method 5.1 Measurement data processing method 5.2 Measurement data processing flow 5.2.1 General Figure 2 – Example of input signal |
13 | 5.2.2 Median filter process Figure 3 – Measurement data processing flow adopting the S-CIELAB model |
14 | 5.2.3 Transformation to opponent colour space from CIE XYZ 5.2.4 Convolution with the contrast sensitivity function (CSF) of the human visual system 5.2.5 Transformation to CIE XYZ from the opponent colour space 5.2.6 Transformation to CIELAB from CIE XYZ |
15 | 5.2.7 a* correction 5.3 Mura evaluation method 5.3.1 General 5.3.2 Lightness mura evaluation |
16 | Figure 4 – Concept diagram of real-space information integration |
17 | 5.3.3 Chroma mura evaluation Figure 5 – 3 x 3 neighbourhood domain |
18 | 5.3.4 Mura evaluation 5.3.5 Measurement report Table 2 – Example of measurement results for a display screen uniformity |
19 | 6 Actual example 6.1 General 6.2 Evaluation objects 6.3 Subjective evaluation Figure 6 – Evaluation objects in a dark room Table 3 – ITU-R quality and impairment scales |
20 | 6.4 Evaluation by the method indicated inthis document using apparatus Figure 7 – CSF filter images in opponent colour space Table 4 – Subjective evaluation results |
21 | 6.5 Correlation between subjective evaluation and mura evaluation value Figure 8 – Correlation of mura evaluation value and ITU-R subjective evaluation values Table 5 – Evaluation results by apparatus |
22 | Annex A (informative) S-CIELAB model A.1 General A.2 S-CIELAB model A.3 Spatial sensitivity function model (two-dimensional CSF model) Figure A.1 – Flowchart of S-CIELAB calculation |
23 | Figure A.2 – Two-dimensional CSF model Table A.1 – Parameters for each axis of the opponent colour space |
25 | Figure A.3 – Examples of the convolution of a two-dimensional CSF filter for illusion |
26 | Annex B (informative) Type of mura B.1 General B.2 Classification of mura |
27 | Figure B.1 – Classification of mura by forms and/or causes |
28 | Annex C (informative) Use case of a mura evaluation value C.1 General C.2 Example of a use case of a mura evaluation value Table C.1 – Example of a use case of a mura evaluation value Table C.2 – Example of subjects to evaluate |
29 | Annex D (informative) Various mura measurement methods D.1 General D.2 Comparison of mura evaluation standards Table D.1 – Comparison chart of various mura measurement standards |
30 | Bibliography |