CIC@20 Printing (invited talk)

© Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

TO PREDICTABILITY AND BEYOND:20 YEARS OF COLOR PRINTING @ CICJán MorovičSenior Color Scientist, Hewlett–Packard CompanyDirector of CIE Division 8: Image Technology

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http://mermaidspurse.blogspot.co.uk/2011/08/potato-printing.html

THIS REPORT OF MY DEATH WAS AN EXAGGERATION

(MARK TWAIN)

$153.4 Billion

US print shipments

only 5%

digital

growth in industrial

printing

5 Billion textbook pgs on inkjet web press last term

1993: DIGITAL PRINTING ON THE UP!

IndigoE-Print 100

AppleQuadra 800

(33MHz)

QMSColorScript Laser 1000(affordable $12,499)

AdobePhotoshop 2.5

PDF 1.0

MicrosoftWindows 3.11

(1 MB RAM, 15 MB HDD)

1993: CIC 1 PRINTING CONCERNS

Color Reproduction and Color Vision Modeling (Hunt)

RGB-YCMK Color Conversion by Application of Neural Networks

(Marcu & Iwata)

Accuracy of Various Types of Neugebauer Model (Rolleston,

Balasubramanian)

A Method of Transformation from CIE L*a*b* to CMY Value by a Three-Layered Neural Network

(Arai, Nakano, Iga, Usui)

Color Mapping Using Neural Networks (Adkins, Cherkassky, Olson)

Comparison of Color Mixing Theories for Use in Electronic Printing (Kang)

A Simplified Method for the Colorimetric Characterization of Fluorescent Inks (Motta, Farrell)

A Short History of Device-Independent Color (Buckley)

Color Management on the Desktop (Murch)

Integrating Color Printers into Color Systems (Starkweather)

Characterizing Printer Gamuts Using Tetrahedral Interpolation (Bell, Cowan)

On Device Independent Color Characterization Modeling and

Management (Chittineni)Analysis of Adaptation Problems of

Scanning and Printing Devices for Color Reproduction (Chang, Chang)

Reproducing Computer Generated Imagery (Stone)

Efficient Implementation of Nonlinear Color

Transformations (Allebach, Chang, Bouman)

A Neural Network Approach to Color Reproduction in Color Printers

(Tominaga)

Interpolation of Color Data (Rajala, Kakodkar)

Gamut Mapping in Perceptual Color Space (MacDonald)

Color Gamut Visualization Tool (Meyer, Peting, Rakoczi)

Compact Color Hard Copy System Using Vacuum Fluorescent Print Head and Instant

Color Film (Shimizu, Haneishi, Miyake)

The Evolution of Nonimpact Print - Impact on Image Quality

(Miyake, Haneishi)

A Content-Driven Color Adjustment System (Amantea, Asmuth, Bortfeld, Czigler, Nostrand,

Peterson, Martinez-Uriegas, Zokaities)

1993: CIC 1 PRINTING CONCERNS

Color Reproduction and Color Vision Modeling (Hunt)

RGB-YCMK Color Conversion by Application of Neural Networks

(Marcu & Iwata)

Accuracy of Various Types of Neugebauer Model (Rolleston,

Balasubramanian)A Method of Transformation from CIE L*a*b* to CMY Value by a Three-Layered Neural Network

(Arai, Nakano, Iga, Usui)

Color Mapping Using Neural Networks (Adkins, Cherkassky, Olson)

Comparison of Color Mixing Theories for Use in Electronic Printing (Kang)

A Simplified Method for the Colorimetric Characterization of Fluorescent Inks (Motta, Farrell)

A Short History of Device-Independent Color (Buckley)Color Management on

the Desktop (Murch)

Integrating Color Printers into Color Systems (Starkweather)

Characterizing Printer Gamuts Using Tetrahedral Interpolation (Bell, Cowan)

On Device Independent Color Characterization Modeling and

Management (Chittineni)Analysis of Adaptation Problems of

Scanning and Printing Devices for Color Reproduction (Chang, Chang)

Reproducing Computer Generated Imagery (Stone)

Efficient Implementation of Nonlinear Color

Transformations (Allebach, Chang, Bouman)

A Neural Network Approach to Color Reproduction in Color Printers

(Tominaga)

Interpolation of Color Data (Rajala, Kakodkar)

Gamut Mapping in Perceptual Color Space (MacDonald)

Color Gamut Visualization Tool (Meyer, Peting, Rakoczi)

Compact Color Hard Copy System Using Vacuum Fluorescent Print Head and Instant

Color Film (Shimizu, Haneishi, Miyake)

The Evolution of Nonimpact Print - Impact on Image Quality

(Miyake, Haneishi)

A Content-Driven Color Adjustment System (Amantea, Asmuth, Bortfeld, Czigler, Nostrand,

Peterson, Martinez-Uriegas, Zokaities)

Printermodel Workflow

Hardware

Color transformation

Gamut mapping

Quality

Tools


1993: WHAT DO WE STILL USE TODAY?

Hunt ’94 → CIECAM02

Murch

MacDonald

Chittineni

Amantea

Meyer

Kang


PRINTING AT CIC

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Pape

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313 of the 1240 papers were print related


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printer model! workflow! gamut mapping! evaluation!

processing! halftoning! hardware! tools!

PRINTING AT CIC

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PRINTER MODELING: 25%

• Predict color/spectral properties of print colorant overprints and/or their halftoned patterns

• Basis of:• using printers in color reproduction• keeping printers calibrated • making choices when designing

printing systems• Complex, material-dependent interactions

among colorants and substrate (paper, plastics, textiles, ceramics)

• Arbitrary printing systems still cannot be easily and accurately characterized

Emmel (CIC4)

Gus

tavs

on (C

IC4)

Van

De

Cape

lle (C

IC5)

Har

debe

rg (C

IC5)

Sun (CIC10)


WORKFLOW: 25%

• Color management, color reproduction, spectral reproduction & enabling specialists applications (e.g., print verification, encryption of data in print, etc.).

• Most dominant during early years of CIC, but with good representation throughout last 19 years

• Color and imaging ecosystem changes → interactions with print & challenge of re-targeting and re-purposing content

Katoh (CIC3)

Yokoyama (CIC5)

Morovič (CIC18)Falkenstern (CIC19)


GAMUT MAPPING: 15%

• Adjusting source color content to fit printable range

• Particularly strong during first 10 CICs + recent peaks

• No universally successful solution exists (will ever exist?)

• When progress is made elsewhere (e.g., image difference prediction, print quality evaluation), attempts made to roll it back here

Katoh (CIC4) Motomura (CIC4)

Braun (CIC7)

Zolliker (CIC19)

Bonnier (CIC16)


QUALITY EVALUATION: 15%

• How can we characterize the properties of print? By itself, as a function of its constituent materials, in the context of it being the reproduction of other color content ...

• Particular growth in recent years & strong potential to keep momentum

• The better our understanding of what a given print’s properties are, the better a chance we have to adjust them to an optimal state

Pointer (CIC2) Braun (CIC4) Bala (CIC9)

Lissner (CIC19)

Pedersen (CIC18)


PROCESSING, HW, H/T, TOOLS: 20%

• Color processing algorithms relevant to print (e.g., more efficient, accurate or faster interpolation algorithms)

• Color halftoning• New printing hardware and materials • Tools for a better understanding of print

attributes or the workflows that have lead to them

Van De Capelle (CIC2)Moroney (CIC2)

Yu (CIC4)

Meyer (CIC5) Gar

cia

(CIC

18)


CIC 30 AND BEYOND

“You can't connectthe dots looking forward;

you can only connect themlooking backwards.” –Steve Jobs

“The only way you can predict the future is to build it.”

–Alan Kay

. . . . . . . . . . . . . . . . . . . .


WHAT SHALL WE BUILD?

• Color as color: gamut, resolution, detail, re–rendering, controlled color: new materials & conditions; pro performance for consumers at consumer prices

• But: do we need it? Yes! Customers may not ask for it, but will appreciate and demand it once they see it (à la Ford’s faster horses v. cars)

• Hidden color: cheaper HW/materials/resources, faster setup and performance, easier use and application to new contexts (e.g., 3D printing), more predictable, more consistent

• Good color printing technology should be like good typography: invisible


THANK YOU!

CIC@20 Printing (invited talk)

Technology

color meyer

years of color printing

miyake color management

printing devices

printing concerns

printrelated p print

printer model

neural networks adkins