Munsell Color Science Laboratory · 2001. 4. 27. · ROY S. BERNS Chester F. Carlson Center for...
Transcript of Munsell Color Science Laboratory · 2001. 4. 27. · ROY S. BERNS Chester F. Carlson Center for...
ROY S. BERNS
Chester F. Carlson Center for Imaging Science
Rochester Institute of Technology54 Lomb Memorial Drive
Rochester, New York [email protected]
Multispectral-Based Color Reproduction Research at the
Munsell Color Science Laboratory
Multispectral-Based Color Reproduction Research at the
Munsell Color Science Laboratory
Overview for PDFOverview for PDF
This talk was presented at the Center for Imaging Science Fall Industrial Associates Meeting on October 20, 1997. It is an overview talk for a session on multispectral imaging. The session included the following speakers: Peter Burns, Geoff Woolfe, Jonathan Arney, and Roger Easton.
All of the artwork images were copied from Microsoft Art Gallery, a collection of the National Gallery, London. No attempt has been made by R. Berns to achieve color accuracy.
The Goal: The "Virtual" World Matches The Real WorldThe Goal: The "Virtual" World Matches The Real World
The Goal: The "Virtual" World Matches The Real WorldThe Goal: The "Virtual" World Matches The Real World
The Goal: The "Virtual" World Matches The Real WorldThe Goal: The "Virtual" World Matches The Real World
The Apparent Solution:Color ManagementThe Apparent Solution:Color Management
Device ProfileDevice Profile
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DeviceProfile
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referencedevice
Reference device: Reflection print viewed at 45/0 by the 1931 observer under D
50 without flare
"Profile Connection Space (PCS)"
ImplementationImplementation
drdgdb
CRTColorimetry
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AppearanceModel
(CRT conditions)
LCH
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(PCS conditions)
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GamutMapping
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PrintColorimetry
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CRT to Print Via Color ManagementCRT to Print Via Color Management
Color Imaging Matches Are, By Definition, MetamericColor Imaging Matches Are, By Definition, Metameric
Real objects are not composed of cyan, magenta, yellow, and black ink
Problems Remain: Controlling LightingProblems Remain: Controlling Lighting
Monet's GardenMonet's Garden
Yes, we expect lighting to affect color, but...
Metameric Matches Are Unstable With Changes in Lighting Metameric Matches Are Unstable With Changes in Lighting
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Two painted surfaces, each colored with different pigments
Daylight IlluminationDaylight Illumination
What the average observer sees:
Note match
Incandescent IlluminationIncandescent Illumination
What the average observer sees:
Note mismatch
Conventional Imaging Input Devices Are Not Linearly Transformable To Humans
Conventional Imaging Input Devices Are Not Linearly Transformable To Humans
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The Camera Is Not A HumanThe Camera Is Not A Human
What the camera really sees under daylight:What the camera really sees under daylight:
Note mismatch
The Camera Is Not A HumanThe Camera Is Not A Human
What the camera really sees under incandescent:
Note mismatch
Note lack of color balance
Problems Remain: Gamut MismatchProblems Remain: Gamut Mismatch
The Original and its Reproduction Do Not MatchThe Original and its Reproduction Do Not Match
Original Reproduction
Copyright © 1993, The National Gallery, LondonCopyright © 1993, The National Gallery, London
The Solution: Multispectral-Based Color Reproduction
The Solution: Multispectral-Based Color Reproduction
Image capture
Multi-channel image storage
Spectral-based printing
separation minimizing
metamerism
Multi-ink direct digital
printing
Copyright © 1993, The National Gallery, LondonCopyright © 1993, The National Gallery, London
Spectral reconstruction
Ink selection
Multispectral-Based SystemMultispectral-Based System
Multispectral digital image capture
Multi-channel image storage
Colorimetric and appearance conversion
Gamut mappingCRT device colorimetric
characterization (inverse)
Desktop printer device colorimetric
characterization (inverse)
Spectral-based printing separation
minimizing metamerism
Multi-ink direct digital printing
Copyright © 1993, The National Gallery, LondonCopyright © 1993, The National Gallery, London
Spectral reconstruction
Research AccomplishmentsResearch Accomplishments
Debra Vent, M.S. Imaging Science, 1994Multichannel Analysis of Object-Color Spectra
James Shyu, M.S. Color Science, 1994Colorimetric Characterization of a Desktop Drum Scanner Using a Spectral Model
Rick Alfvin, M.S. Color Science, 1995Computational Analysis of Observer Metamerism in Cross-Media Color Matching
Research AccomplishmentsResearch Accomplishments
Brian Hawkins, M.S. Color Science, 1996Defining a Gamut Space Given a Set of Colorants
Peter Burns, Ph.D. Imaging Science, 1997Analysis of Image Noise in Multispectral Color Acquisition
Koichi Iino, Visiting Scientist, 1995-1997Spectral Modeling of Ink on Paper
Research ProposalResearch Proposal
Current Research EffortsCurrent Research Efforts
Di-Yuan Tzeng, Ph.D. CandidateSpectral-Based Color Separation Algorithm Development for Multiple-Ink Color
Francisco Imai, Postdoctoral FellowMultispectral Scene Estimation Using Commercial Imaging Devices
Related Research EffortsRelated Research Efforts
Jonathan Arney, Faculty Imaging ScienceLight Scattering and Halftone Modeling
Mark Fairchild, Faculty Imaging ScienceColor Appearance Psychophysics
Ethan Montag, Faculty Imaging ScienceColor Gamut Mapping
Geoff Woolfe, M.S. Imaging Science 1997Spectral Data to Improve Modeling Accuracy
Di-Yuan TzengDi-Yuan Tzeng
Ph.D. Candidate in Imaging Science
Preliminary ComputationsPreliminary Computations
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Wavelength (nm)
K/S
Mean
V1: 86.778%
V2: 06.899%
V3: 03.935%
V4: 01.766%
V5: 00.439%
The Optimal Ink- S
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400 420 440 460 480 500 520 540 560 580 600 620 640 660 680 700Wavelength
R fl
Warm red
Purple
Reflex blue
Process blue
process black
process yellow
Ink selection scheme:continuous-tone assumptioncanonical correlation analysis
ConclusionsConclusions
Multispectral-Based Color Reproduction Has Tremendous Possibilities
We Invite Our Industrial Associates To Get Involved