CISPR TR 29:2004

Television broadcast receivers and associated equipment - Immunity characteristics - Methods of objective picture assessment

This Technical Report describes the algorithms used for objective picture assessment in immunity tests of analogue and digital TV broadcast receivers and associated equipment.

General Information

• Status: Published
• Publication Date: 22-Aug-2004
• ICS: 33.100.20 - Immunity
• Technical Committee: CIS/I - Electromagnetic compatibility of information technology equipment, multimedia equipment and receivers
• Current Stage: DELPUB - Deleted Publication
• Start Date: 21-Dec-2018
• Completion Date: 07-May-2020

Relations

• Revised: CISPR TR 29:2020 - Television broadcast receivers and associated equipment - Immunity characteristics - Methods of objective picture assessment
• Effective Date: 05-Sep-2023

Standards Content (Sample)

TECHNICAL
TR CISPR
REPORT
First edition
2004-08
INTERNATIONAL SPECIAL COMMITTEE ON RADIO INTERFERENCE
Television broadcast receivers
and associated equipment –
Immunity characteristics –
Methods of objective picture assessment

Reference number
TR CISPR 29:2004(E)
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TECHNICAL
TR CISPR
REPORT
First edition
2004-08
INTERNATIONAL SPECIAL COMMITTEE ON RADIO INTERFERENCE
Television broadcast receivers
and associated equipment –
Immunity characteristics –
Methods of objective picture assessment

” IEC 2004  Copyright - all rights reserved
No part of this publication may be reproduced or utilized in any form or by any means, electronic or mechanical, including
photocopying and microfilm, without permission in writing from the publisher.
International Electrotechnical Commission, 3, rue de Varembé, PO Box 131, CH-1211 Geneva 20, Switzerland
Telephone: [phone] Telefax: [phone] E-mail: [e-mail] Web: www.iec.ch
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Commission Electrotechnique Internationale
International Electrotechnical Commission
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For price, see current catalogue

– 2 – TR CISPR 29 ” IEC:2004(E)

CONTENTS
FOREWORD.3

1 Scope .5

2 Normative references .5

3 Abbreviations .5

4 Test method for objective picture assessment .5

5 Methodology for detection of analogue picture degradations.6

5.1 Algorithm for superimposed patterns, moiré patterns .6
5.2 Algorithm for loss of luminance and contrast .7
5.3 Algorithm for loss of colour .7
5.4 Algorithm for loss of synchronisation.7
6 Methodology for detection of digital picture degradations.8
6.1 Algorithm for blocking .8
6.2 Algorithm for frozen patterns, stop of moving element .8
6.3 Algorithm for total loss of picture, irrecoverable data stream error.8
7 Alternative methodology for detection of digital picture degradations .9
7.1 Test pattern.9
7.2 Analysis .9
7.3 Comparison.10

TR CISPR 29 ” IEC:2004(E) – 3 –

INTERNATIONAL ELECTROTECHNICAL COMMISSION

____________
TELEVISION BROADCAST RECEIVERS AND ASSOCIATED EQUIPMENT –

IMMUNITY CHARACTERISTICS –
METHODS OF OBJECTIVE PICTURE ASSESSMENT

FOREWORD
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8) Attention is drawn to the Normative references cited in this publication. Use of the referenced publications is
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The main task of IEC technical committees is to prepare International Standards. However, a
technical committee may propose the publication of a technical report when it has collected

data of a different kind from that which is normally published as an International Standard, for
example "state of the art".
CISPR 29, which is a technical report, has been prepared by CISPR subcommittee I:
Electromagnetic compatibility of information technology equipment, multimedia equipment and
receivers.
The text of this technical report is based on the following documents:
Enquiry draft Report on voting
CISPR/I/104/DTR CISPR/I/119/RVC
Full information on the voting for the approval of this technical report can be found in the
report on voting indicated in the above table.

– 4 – TR CISPR 29 ” IEC:2004(E)

This publication has been drafted in accordance with the ISO/IEC Directives, Part 2.

The committee has decided that the contents of this publication will remain unchanged until

the maintenance result date indicated on the IEC web site under "http://webstore.iec.ch" in

the data related to the specific publication. At this date, the publication will be

 reconfirmed;
 withdrawn;
 replaced by a revised edition, or

 amended.
A bilingual version of this publication may be issued at a later date.

TR CISPR 29 ” IEC:2004(E) – 5 –

TELEVISION BROADCAST RECEIVERS AND ASSOCIATED EQUIPMENT –

IMMUNITY CHARACTERISTICS –
METHODS OF OBJECTIVE PICTURE ASSESSMENT

1 Scope
This Technical Report describes the algorithms used for objective picture assessment in

immunity tests of analogue and digital TV broadcast receivers and associated equipment.

The algorithms used were developed on the basis of the specifications included in Annex K
of CISPR 20. The method of objective picture assessment described in that annex employs
the same interference mechanism and is based on the same wanted signal definition as
specified in CISPR 20. Objective picture assessment, therefore, constitutes an alternative to
the subjective method and offers the advantage of direct correlation to the subjective method.
2 Normative references
The following referenced documents are indispensable for the application of this document.
For dated references, only the edition cited applies. For undated references, the latest edition
of the referenced document (including any amendments) applies.
CISPR 20:2002, Sound and television broadcast receivers and associated equipment –
Immunity characteristics – Limits and methods of measurement
Amendment 1 (2002)
ITU-R BT.500-10, Methodology for the subjective assessment of the quality of television
pictures
ITU-R BT.801-1, Test signals for digitally encoded colour television signals conforming with
Recommendations ITU-R BT.601 (Part A) and ITU.R BT.656
3 Abbreviations
For the purposes of this document, the following abbreviations apply.
CCVS composite colour video signal
(chrominance, video, blanking and sync signal)

DCT discrete cosine transform
EUT equipment under test
HSL hue, saturation, luminance (colour space model)
SSCQE (single stimulus continuous quality evaluation)
4 Test method for objective picture assessment
Objective picture assessment is based on comparison with a reference picture or a reduced
reference picture.
Both the reference picture and the test picture can be recorded from the EUT monitor by
means of a video camera or at the EUT's video output (CCVS) direct.
___________
See Amendment 2 to CISPR 20:2002, to be published.

– 6 – TR CISPR 29 ” IEC:2004(E)

The recorded test picture is digitised, and deviations from a stored reference picture are

determined by means of the picture assessment algorithms described below. An alternative

methodology computes the deviation from specific features determined on both the reference

picture and the picture to assess.

5 Methodology for detection of analogue picture degradations

Analogue picture degradations are defined as:

– superimposed patterns, moiré patterns;

– loss of luminance and contrast;
– loss of colour;
– loss of synchronization.
5.1 Algorithm for superimposed patterns, moiré patterns
To assess picture degradation showing as a set of lines, an average signal value is formed for
a defined area in the simplest case. The deviation of the average signal value of this area
from a reference value determined from an undisturbed picture serves as a criterion of
whether or not picture degradation is present.
For picture assessment according to this method, the colour bar pattern according to ITU-R
BT.801-1 is first converted to a suitable colour space, preferably grey. From each colour bar,
a rectangular section is taken into which a rectangular test window is positioned. The test
window is divided into column segments (see Figure 1).
To reliably detect picture degradation, the test window is rotated by a constant angular
increment of 2° until 180° is attained. For picture degradation in the form of lines, the test
window segments will, in the case of one of the angles measured, be aligned approximately
parallel to the interference lines, thus producing a significant deviation from average signal
values.
As already mentioned, an average value or column sum is determined for each segment, and
the deviation from a reference value is calculated. In addition, a regression line over all
column sums is formed, and the square offset of each column sum from the regression line is
calculated. If the sum of the square offsets of the column sums exceeds the corresponding
value determined for a reference picture, a superimposed pattern or moiré pattern is detected.
The position and size of the test window, or the test window diagonal, should be selected
such that, for any angular position of the test window, all pixels of the test window are located

within the same colour bar of the test pattern, i.e. within the homogeneous area of the colour
bar. This excludes impairment of results by influences from the cross-colour region.
After a 180° rota
...