(12) United States Patent US 7,652,789 B2 Jan. 26, 2010...of all colors 51 . US. Patent Jan. 26,...

(12) United States Patent Berns et a].

US007652789B2

US 7,652,789 B2 Jan. 26, 2010

(10) Patent N0.: (45) Date of Patent:

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PRODUCTION OF COLOR CONVERSION PROFILE FOR PRINTING

Inventors: Roy S. Berns, Pittsford, NY (US); Lawrence A. Taplin, Rochester, NY (US); Yoshifumi Arai, Nagano-ken (JP); Kimito Katsuyama, Nagano-ken (JP); Takashi Ito, Nagano-ken (JP)

Assignee: Seiko Epson Corporation, Tokyo (JP)

Notice: Subject to any disclaimer, the term of this patent is extended or adjusted under 35 U.S.C. 154(b) by 794 days.

Appl. No.: 10/700,658

Filed: Nov. 3, 2003

Prior Publication Data

US 2005/0094169 A1 May 5, 2005

Int. Cl. G03F 3/00 (2006.01) US. Cl. ....................... .. 358/1.9; 358/1.1; 358/518;

358/504; 382/162; 382/167; 345/598; 345/599 Field of Classi?cation Search ................ .. 358/1.9,

358/502, 504, 518, 520, 521, 523, 534, 3.02, 358/3.09*3.12, 525, 3.27, 2.1, 1.1, 500, 515,

358/3.03, 3.04, 3.05, 3.06, 1.2; 382/167, 382/162, 164; 347/15; 345/596, 589, 590,

345/597, 601, 602, 603, 613, 598, 599 See application ?le for complete search history.

References Cited

U.S. PATENT DOCUMENTS

FOREIGN PATENT DOCUMENTS

JP 11-261740 9/1999

(Continued) OTHER PUBLICATIONS

Y. Chen et al., “A Multi-Ink Color-Separation Algorithm Maximizing Color Constancy,” IS&T/ SID Eleventh Color Imaging Conference (Nov. 2003), pp. 277-281.

(Continued) Primary ExamineriKing Y Poon Assistant ExamineriLaWrence E Wills (74) Attorney, Agent, or FirmiMartine Penilla & Gencarella, LLP

(57) ABSTRACT

A spectral printing model converter is used to convert ink amount data to spectral re?ectance of a color patch to be printed according to the ink amount data. A plurality of sample ink amount data each representing a set of ink amounts of plural inks is provided, and each sample ink amount data is converted into spectral re?ectance of a virtual sample patch to be printed With the ink amounts represented by the sample ink amount data using the spectral printing model converter. An evaluation index is calculated for each sample ink amount data, Where the evaluation index includes a color difference index and an image quality index of the virtual sample patch to be printed according to the sample ink amount data. The color difference index represents a color difference between a sample color Which is calculated from the spectral re?ectance and a comparative color Which is selected as a basis for comparison. Plural sample ink amount data is then selected based on the evaluation index, and a pro?le de?ning correspondence between colorimetric value data and ink amount data is produced based on the selected

5,929,906 A 7/1999 Arai et a1. Plural Sample 111k amount data

(Continued) 38 Claims, 34 Drawing Sheets

_ _ ‘ Parameter data 120

not shape dam F S ectral re?ectance data ~ Mex r 139T I f‘ 125

g ,l, Halftone module Ha lmage quamy 9- 1260 a c _; S ,- 100 Index Calculator - peetral 122 1 M _, . . Sample Color CV1 : Prlntmg Model . " y —> converter R5mp( A ) Calculator (D50) Color DIfferenoe ' —1262 5 Index Calculator

K —> 1 P ' Color ' r‘ g 0 (Fonuard Model 0 r H 1 Index a "* Converter) 1 l c‘” E|1=f(CDl,IQl) a, G —v 1L

1 3O

sRGB Pro?le r162 selector ‘ . .

sRGB L a b [-140

Pro?le 142 Ink Pro?le f High Evaluatlon

Luaobo CMVKOG Sample Data Printer LUT/ ‘139

160 J Cu,Mn,Yn,Ko.On,Gn sRGB CMYKOG f C1,M|,Y1,K|,O|,G1

I Gamut Mapping Processor 5 L f‘ 144

o o m L'a‘h' value L a h CMYKOG (D50)

smoothed Ink Pro?le

US 7,652,789 B2

US. PATENT DOCUMENTS

6,761,426 B2* 7/2004 Tsuchiya et a1. ............ .. 347/19

6,987,567 B2 * 1/2006 Takahashi et al. 356/405 7,053,910 B2 5/2006 Newman 7,298,513 B2 11/2007 Namikata

2002/0024574 A1* 2/2002 Uchida ..................... .. 347/104

2003/0002064 A1* 1/2003 Otsuki ..................... .. 358/1.13

2003/0098896 A1 5/2003 Berns et al. 2003/0177930 A1* 9/2003 Derhak et a1. ............. .. 101/484

2003/0214686 A1* 11/2003 Saito et al. ...... .. 358/504

2005/0219569 A1* 10/2005 Yamamoto et al. 358/1.9 2007/0291312 A1* 12/2007 Kaneko et al. . . . . . . . .. 358/2.1

FOREIGN PATENT DOCUMENTS

JP 2001-320592 11/2001 JP 2002-354276 12/2002 JP 2003-153015 5/2003 JP 2003-153024 5/2003 JP 2003-303085 10/2003

OTHER PUBLICATIONS

Final Program and Proceedings of IS&T/ SID, Fourth Color Imaging Conference: Color Science, Systems and Applications (Nov. 19-22, 1996), pp. i-iii and 4-9. Y. Arai et al., “A neural network for correcting the color shifts due to the illuminant changes,” Progress in Neural Information Processing:

Proceedings of the International Conference on Neural Information Processing (Sep. 24-27, 1996), pp. 350-355. Y. Arai et al., “Device-and-illuminant independent color reproduc tion using principal component analysis and neural networks,” Device-Independent Color Imaging II: Proceedings of SPIE-The International Society for Optical Engineering (Feb. 7-8, 1995), vol. 2414, pp. i-iv and 114-122. Y. Arai et al., “A Color Conversion Method Using a Neural Network for a Cross-Media Color Appearance Matching,” AIC Color 97, Proceedings of the 8th Congress of the International Colour Asso ciation (May 25-30, 1997), pp. 556-569, vol. II, The Color Science Association of Japan, Kyoto, Japan. Abstract of Japanese Patent Publication No. JP 11-261740, Pub. Date: Sep. 24, 1999, Patent Abstracts of Japan. Abstract of Japanese Patent Publication No. JP 2001-320592, Pub. Date: Nov. 16, 2001, Patent Abstracts of Japan.

Abstract of Japanese Patent Publication No. JP 2002-354276, Pub. Date: Dec. 6, 2002, Patent Abstracts of Japan.

Abstract of Japanese Patent Publication No. JP 2003-153015, Pub. Date: May 23, 2003, Patent Abstracts of Japan. Abstract of Japanese Patent Publication No. JP 2003-153024, Pub. Date: May 23, 2003, Patent Abstracts of Japan. Abstract of Japanese Patent Publication No. JP 2003-303085, Pub. Date: Oct. 24, 2003, Patent Abstracts of Japan.

* cited by examiner

US. Patent Jan. 26, 2010 Sheet 2 M34

Fig.2 First Embodiment

Start

7

US 7,652,789 B2

K510 Prepare spectral printing model (forward model converter)

r515 Prepare a large number of virtual samples in ink space

V f- 520

spectral printing model Calculate CIELAB values of virtual samples using the

f- 525

sort all the samples into the different cells Divide the CIELAB space into a plurality of cells and

V

De?ne evaluation index : Color lnconstancy Index + GI

the best sample in each cell Calculate evaluation index for each sample and select

Create Ink pro?le

Create smoothed lnk pro?le

V

Gamut map to produce printer lookup table

End

US. Patent Jan. 26, 2010 Sheet 3 0f 34 US 7,652,789 B2

OON

OOr

00v 00v

J I

ON 00 OOP ONr

US. Patent Jan. 26, 2010 Sheet 4 of 34 US 7,652,789 B2

Fig.4

Step S35 (Selection of best sample)

> f 555

Select sample ink amount data in the cell

Fonlvard model 560

Convert sample ink amount to spectral re?ectance

A2 \ /- sea Calculate XYZ for D50 Calculate XYZ for F11 /. 575

¢ /- 564 ‘ r- 870 Halftone Chromatic adaptation Chromatic adaptation processing transform to D65 transform to DB5

l r S 6 l r572 Calculate CIELAB : Calculate CIELAB :

CV1=(L*a*b*)D50->D65 CV2=(L*a*b*)F11->D65

Calculate Evaluiation Index

S85 N0 Done

7

Yes f 590

Select the best sample in the cell

‘

| Return I


Fig.5

C Calculate GI )

Prepare parameter data J‘ 5100

Prepare dot shape data J‘ 5110

Prepare spectral _/_ S120 re?ectance data

Create a subpixel plane I 5125

Create dots on the subpixel ~,-513g plane using dot shape data

Have all colors been ?nlshed

7

YES

Calculate the li htness r5140 using spectral re ectance

of all colors

51


Fig.6

parameter data

- X resolution I1440dpi

'Y resolution I720dpi

- number of colors 26

' printing media ' Iphoto paper

- number of subpixels/ pixel I20

- number of nozzles I 180


Fig.7

dot shape data

?rst dot second dot relative distance

_colorlnozzle Xsize Ysize Xsize Ysize Xsize Ysize F N0 (Y0) (Y0) (X1) (Y1) (X2) (Y2)

#E 1 4.6 2.4 Q #1'80 4'2 22 d d d 6 #1

#1'80 4491

#1'80 #51

#1'80 #1

#1'80 #31

#1'80

9 X0

Y0


Fig.8

1 __

R(/\)

_ 0 ! >

380 A (nm) 780

spectral re?ectance data

A 380 390 400 780

0.21 0.25 0.384


3% w Em Eu 8% SEESE O

2% 28:2

@QE


Fig.10 Q

Calculatev Minimum fre uency of the image eu=X-resolution/ gumber of pixels

of X-direction x 25.4) f 5205 ev=Y-resolution/ number of pixels

of Y-direction X 25.4)

Initialize u and v ‘ r5210

S230 NO Have all (u,v)

been ?7nished YES

lnt= J Pow/all of subpixels f3235

Ave: 2 Z L(x,y ’‘ y /% pixels $5240

End

US. Patent Jan. 26, 2010 Sheet 11 0134 US 7,652,789 B2

26E 22; B 82E? 2: F cozuotoo

E AEEBEF:

= Saw t>

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3.9m 265 652.6 4


Fig.13

( Smoothing process )

De?ne position data $5300

De?ne Smoothness J- 5305 Evaluation Index

Select a sample I531‘)

Select neighboring grid points f5315

Calculate Smoothness ~,-53g() Evaluation Index

j/S340 Renew position data Store the optimized sample

r5335 interpolate lnk amount data

5345

YES m samples been finished

S350

YES Have predetermined number of times been

?nished 7


3.3

US. Patent Jan. 26, 2010 Sheet 15 0f34

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(12) United States Patent US 7,652,789 B2 Jan. 26, 2010...of all colors 51 . US. Patent Jan. 26,...

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