color quality of lighting and metrics–where are we going to?

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1 Energy Star Webinar March 2016 Color Quality of Lighting and Metrics Where are we going to? Yoshi Ohno (Ph.D., CIE President, IES Fellow) NIST Fellow, Sensor Science Division National Institute of Standards and Technology Gaithersburg, Maryland USA EPA Energy Star Lighting Webinar Series Evaluating Color Quality March 31, 2016

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Page 1: Color Quality of Lighting and Metrics–Where are we going to?

1Energy Star Webinar March 2016

Color Quality of Lighting and Metrics

– Where are we going to?

Yoshi Ohno(Ph.D., CIE President, IES Fellow)

NIST Fellow, Sensor Science Division

National Institute of Standards and Technology

Gaithersburg, Maryland USA

EPA Energy Star Lighting Webinar Series

Evaluating Color Quality – March 31, 2016

Page 2: Color Quality of Lighting and Metrics–Where are we going to?

2Energy Star Webinar March 2016

Color Quality of Lighting

Chromaticity (white light)

Color Rendition

Color Quality

400 450 500 550 600 650 700

400 500 600 700

• CCT, Duv

• Chromaticity

coordinates

(x,y), (u’,v’)

• Color fidelity (CRI)

• Color preference

Page 3: Color Quality of Lighting and Metrics–Where are we going to?

3Energy Star Webinar March 2016

OUTLINE

1. Research on White Light Chromaticity

2. Research on Color Saturation Preference

3. Understanding TM-30

4. Where are we going to?

Page 4: Color Quality of Lighting and Metrics–Where are we going to?

4Energy Star Webinar March 2016

OUTLINE

1. Research on White Light Chromaticity

2. Research on Color Saturation Preference

3. Understanding TM-30

4. Where are we going to?

Page 5: Color Quality of Lighting and Metrics–Where are we going to?

5Energy Star Webinar March 2016

Color Quality = CCT and CRI ?

CCT: Correlated Color Temperature (CIE S017 ILV)

CRI: Color Rendering Index (CIE 13.3)

Some example

CCT = 3050 K

CRI (Ra)= 91

This product is not acceptable.

Why?

Too yellowish!

NormalCCT does not tell the whole story of chromaticity.

Duv-

Page 6: Color Quality of Lighting and Metrics–Where are we going to?

6Energy Star Webinar March 2016

White Light Chromaticity

ANSI C78.377 for SSL • Widely used, in Energy Star, DLC,

IEA SSL Annex ,etc.

• First published in 2008

• Revisions in 2011, 2015

ANSI C78.376-2001 for

linear fluorescent lamps

Page 7: Color Quality of Lighting and Metrics–Where are we going to?

7Energy Star Webinar March 2016

Annex B. 4-step

quadrangle tolerances

ANSI C78.377 Future Considerations

Annex C. 4-step u’v’ circles (CIE TN001)

Page 8: Color Quality of Lighting and Metrics–Where are we going to?

8Energy Star Webinar March 2016

An example:

Neodymium lamp

Preference to below blackbody

Known for many years

but not covered in any

standards.

Page 9: Color Quality of Lighting and Metrics–Where are we going to?

9Energy Star Webinar March 2016

Recent Studies

Experiment on

perceived white point

by LRC (2013)

Experiment on preferred

lighting by NRC, Canada

(2013)

NIST vision experiment

in 2013

Dikel et al, ”Preferred Chromaticity of Color-

Tunable LED Lighting”, LEUKOS, 10:2, 101-

115, DOI: 10.1080/15502724.2013.855614

(2013).

Ohno, Y., Fein, M., Vision Experiment on

Acceptable and Preferred White Light

Chromaticity for Lighting, CIE x039:2014,

pp. 192-199 (2014).

M. S. Rea,* J. P. Freyssinier, “White

Lighting”, CR&A, 30-2, 82-92, 2013.

Page 10: Color Quality of Lighting and Metrics–Where are we going to?

10Energy Star Webinar March 2016

NIST Spectrally Tunable Lighting Facility

Page 11: Color Quality of Lighting and Metrics–Where are we going to?

11Energy Star Webinar March 2016

NIST Spectrally Tunable Lighting Facility

Page 12: Color Quality of Lighting and Metrics–Where are we going to?

12Energy Star Webinar March 2016

6 Duv points at each CCT,

4 CCTs,

at total 23 points.

Total 50 spectra used.

• NIST STLF at ~ 300 lx.

• 18 subjects (20 to 70 yrs old)

• Viewed fruits/vegetables on the table,

his/her skin tone and the whole room.

• Adapted to each Duv point before

judgement: which light is “more natural”.

2013 Vision Experiment at NIST

on Preferred and Acceptable level of Duv

Adaptation

points

Pair

Page 13: Color Quality of Lighting and Metrics–Where are we going to?

13Energy Star Webinar March 2016

Which light looks more natural? A

Page 14: Color Quality of Lighting and Metrics–Where are we going to?

14Energy Star Webinar March 2016

Which light looks more natural? AWhich light looks more natural? B

Page 15: Color Quality of Lighting and Metrics–Where are we going to?

15Energy Star Webinar March 2016

• NIST STLF at ~ 300 lx.

• 18 subjects (20 to 70 yrs old)

• Viewed fruits/vegetables on the table,

his/her skin tone and the whole room.

• Adapted to each Duv point before

judgement: which light is “more natural”.

2013 Vision Experiment at NIST

on Preferred and Acceptable level of Duv

Duv=~ -0.015 at all CCTs

appeared most natural.

Average results of all subjects

Page 16: Color Quality of Lighting and Metrics–Where are we going to?

16Energy Star Webinar March 2016

• NIST STLF at ~ 300 lx.

• 18 subjects (20 to 70 yrs old)

• Viewed fruits/vegetables on the table,

his/her skin tone and the whole room.

• Adapted to each Duv point before

judgement: which light is “more natural”.

2013 Vision Experiment at NIST

on Preferred and Acceptable level of Duv

Further referenceY, Ohno, “Practical Use and Calculation of

CCT and Duv” LEUKOS 10:1, 47-55, DOI:

10.1080/15502724.2014.839020 (2013).

Duv defined in ANSI C78.377.

Page 17: Color Quality of Lighting and Metrics–Where are we going to?

17Energy Star Webinar March 2016

Discussion by Minchen Wei & Kevin Houser

LEUKOS, DOI:10.1080/15502724.2015.1029131, April 2015

Vol. 12, Issue 1-2, 2016

“We infer that the preference expressed by participants in the

studies by Dikel and others [2014] and Ohno and Fein

[2014] may not be solely related to chromaticity.”

“aspects of color rendition (that is, color fidelity and relative

gamut) may also influence preference.”

Page 18: Color Quality of Lighting and Metrics–Where are we going to?

18Energy Star Webinar March 2016

Chroma saturation

2013 Experiment 2015 Experiment

Chroma saturation (red, green)

3500 K 3500 K

Gamut area QgGamut area Qg

3500 K3500 K

Chroma saturation (red, green)

Page 19: Color Quality of Lighting and Metrics–Where are we going to?

19Energy Star Webinar March 2016

Chroma saturation

2013 Experiment 2015 Experiment

Chroma saturation (red, green)

3500 K 3500 K

Gamut area QgGamut area Qg

3500 K3500 K

Chroma saturation (red, green)

Page 20: Color Quality of Lighting and Metrics–Where are we going to?

20Energy Star Webinar March 2016

Average Results of 2015 vs 2013

Experiment

2013 results2015 results

No significant differences found.

Std.dev

Ohno, Y., Fein, M., Vision Experiment on Acceptable

and Preferred White Light Chromaticity for Lighting,

CIE x039:2014, pp. 192-199 (2014)

Ohno, Y., Oh, S., Vision Experiment II on White Light

Chromaticity for Lighting, CIE x042:2016, pp. 175-184

(2016)

References

Page 21: Color Quality of Lighting and Metrics–Where are we going to?

21Energy Star Webinar March 2016

Current specification

Proposal for addition to ANSI C78.377

Flexible Duv

(Center Duv

-0.002 to -0.012)

“Preference-based”

(Center Duv -0.012 )

Proposal

Page 22: Color Quality of Lighting and Metrics–Where are we going to?

22Energy Star Webinar March 2016

OUTLINE

1. Research on White Light Chromaticity

2. Research on Color Saturation Preference

3. Understanding TM-30 and CRI

4. Where are we going to?

Page 23: Color Quality of Lighting and Metrics–Where are we going to?

23Energy Star Webinar March 2016

Why perception differ from the CRI scores?

Plots of 15

CQS samples

on CIELAB

(a*,b*)

Red and

green are

critical

Test light

(Ra=78)

Reference

(Planckian)

The area

within such

plots is called

“gamut area”

CRI Ra=78 CRI Ra=94

• CRI is a color fidelity metric based on Reference Illuminant.

• Perception is different from color fidelity

Looks better (for most people)

Page 24: Color Quality of Lighting and Metrics–Where are we going to?

24Energy Star Webinar March 2016

Ra=82Ra=82

Color Gamut and Perception

De-saturated Neutral Over-saturatedLooks poor Good Looks better

(to some

extent)

Ra=63 Ra=100 Ra=85

Perception and CRI agree

(CRI works okay)

Perception and CRI do not

agree

Page 25: Color Quality of Lighting and Metrics–Where are we going to?

25Energy Star Webinar March 2016

Most saturated

Most de-saturated

-80

-60

-40

-20

0

20

40

60

80

100

-80 -60 -40 -20 0 20 40 60 80

a*

CIELAB

b*

DC*ab = -16

DC*ab = 16

2014 Vision Experiment at NISTon preferred chroma saturation level

• 20 subjects

• 3 CCTs (2700, 3500, 5000 K), Duv= 0

• 3500 K, Duv= -0.015

Page 26: Color Quality of Lighting and Metrics–Where are we going to?

26Energy Star Webinar March 2016

Which light looks better? A

Page 27: Color Quality of Lighting and Metrics–Where are we going to?

27Energy Star Webinar March 2016

Which light looks better? AWhich light looks better? B

Page 28: Color Quality of Lighting and Metrics–Where are we going to?

28Energy Star Webinar March 2016

Results

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

-16 -12 -8 -4 0 4 8 12 16

Perc

en

t o

f P

art

icip

an

ts w

ho

p

refe

rred

th

e P

oin

t

Average Preference for DC

Average

Room

Skin

Green

Red

More saturated De-saturated

Neutral

Y. Ohno, M. Fein, C. Miller, Vision Experiment on Chroma Saturation

for Color Quality Preference, CIE 216 :2015, pp. 60 – 69 (2015)

DCab

*

CRI Ra100

90

80

70

60

(1) Entire room

(2) Skin tone of subject

(3) Red fruits/vegetables

(4) Green fruits/vegetables

Reference:

Page 29: Color Quality of Lighting and Metrics–Where are we going to?

29Energy Star Webinar March 2016

OUTLINE

1. Research on White Light Chromaticity

2. Research on Color Saturation Preference

3. Understanding TM-30

4. Where are we going to?

Page 30: Color Quality of Lighting and Metrics–Where are we going to?

30Energy Star Webinar March 2016

Two-metric system

• Fidelity index Rf

• Gamut index Rg

99 test samples

Latest color space

and chromatic

adaptation formula

Calculation tool

IES TM-30 IES Method for Evaluating Light

Source Color Rendition

Color fidelity:

Improvement

of CRI Ra

Information for

preference

Works accurately

for all colors of

object and all

spectra

Provide details

beyond Rf and

Rg.

Page 31: Color Quality of Lighting and Metrics–Where are we going to?

31Energy Star Webinar March 2016

Image from

Michael Royer

Concept of Two-Metric System

Gamut

Rg

Fidelity Rf

Preferred?

• Rg provides preference-related

information.

• TM-30 does not provide

design guidance for Rg

• Limitation of Rg - ave. of all hues

Rg=100

Rf=75Rg=100

Rf=75

Rg equal but different shapes

More

saturated

Less

saturated

Gamut area is not sufficient.

Page 32: Color Quality of Lighting and Metrics–Where are we going to?

32Energy Star Webinar March 2016

IES Position statement of CRI – 2015

IES recognize that CIE CRI has

shortcomings, especially with new

lighting technologies. TM-30 was

developed to solve this problem.

“TM-30-15 is not a required standard,

and it does not provide design

guidance or criteria for best practices.”

“the issuance of TM-30-15 will enable

the international lighting community to

carefully evaluate it, providing a path

leading to improved standards and

design guidance.”

Issued Sep. 2015

Link: https://www.ies.org/PDF/PositionStatements/PS-8-15.pdf

Page 33: Color Quality of Lighting and Metrics–Where are we going to?

33Energy Star Webinar March 2016

CIE Position statement on CRI and Color Quality Metrics

Issued Oct. 2015.

CRI has several significant sources of colorimetric

inaccuracy. CRI needs to be updated. CIE TC1-90

is developing a new color fidelity metric.

CIE supports the study of the recently published

IES TM-30. TC1-90 accepted TM-30 Rf metric as

basis for the TC’s first draft.

An orderly transition is needed when a new

metric is to be introduced.

Both TC reports to be completed by end of 2016.

• The colour fidelity metrics including the CRI do

not assess other important aspects of the colour

qualities of light sources, in particular, those

related to colour preference. CIE TC 1-91 is

developing a Technical Report on this subject.

Link: http://www.cie.co.at/index.php

?i_ca_id=981

Page 34: Color Quality of Lighting and Metrics–Where are we going to?

34Energy Star Webinar March 2016

GLA (Global Lighting Association)

Position statement on CRI

• GLA cautions against the establishment

of regulatory or other minimum

performance requirements for a colour

rendering index (Ra) of greater than 80

for indoor lighting applications.

• GLA supports the need for an additional

colour quality metric - for example, a

colour saturation metric, in conjunction

with the well-established fidelity metric

Ra.

Link: http://www.globallightingassociation.org/library (2nd item on this page)

Page 35: Color Quality of Lighting and Metrics–Where are we going to?

35Energy Star Webinar March 2016

Color Rendition

Color Fidelity Color Preference

CRI Ra (CIE 13.3)

TM-30 Rf

New int’l recommendation

on Color Fidelity Index

CIE TC1-91

Int’l recommendation on

color-preference metric(s)

Where are we going to?

CIE TC1-90

Many other

inputs

New TC

TM-30 Rg

Gradual transition from CRI.

Two (or more) numbers will be

used to specify color quality.

Current int’l std.

More

research

No standards

(CIE’s perspective)

Tech. report (no

recommendation)

2017

Chromaticity

ANSI

C78.377

Addition of

preference-

based

specification

Smaller

tolerances

?

Page 36: Color Quality of Lighting and Metrics–Where are we going to?

36Energy Star Webinar March 2016

THANK YOU for your

attention.

Contact: Yoshi Ohno

[email protected]

We thank DOE for their support on NIST research on

SSL metrology and color quality.