(12) United States Patent Berns et a].

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1 US B2 (12) United States Patent Berns et a]. (10) Patent N0.: (45) Date of Patent: US 7,652,789 B2 Jan. 26, 2010 (54) (75) (73) (*) (21) (22) (65) (51) (52) (58) (56) 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/ A1 May 5, 2005 Int. Cl. G03F 3/00 ( ) US. Cl /1.9; 358/1.1; 358/518; 358/504; 382/162; 382/167; 345/598; 345/599 Field of Classi?cation Search /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 /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 (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 a c _; S,- 100 Index Calculator - peetral M _,.. Sample Color CV1 : Prlntmg Model. " y > converter R5mp( A ) Calculator (D50) Color DIfferenoe ' 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/ 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

2 US 7,652,789 B2 Page 2 US. PATENT DOCUMENTS 6,761,426 B2* 7/2004 Tsuchiya et a /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/ A1* 2/2002 Uchida / / A1* 1/2003 Otsuki / / A1 5/2003 Berns et al. 2003/ A1* 9/2003 Derhak et a / / A1* 11/2003 Saito et al / / A1* 10/2005 Yamamoto et al. 358/ / A1* 12/2007 Kaneko et al /2.1 FOREIGN PATENT DOCUMENTS JP /2001 JP /2002 JP /2003 JP /2003 JP /2003 OTHER PUBLICATIONS Final Program and Proceedings of IS&T/ SID, Fourth Color Imaging Conference: Color Science, Systems and Applications (Nov , 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 , 1996), pp 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 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 , vol. II, The Color Science Association of Japan, Kyoto, Japan. Abstract of Japanese Patent Publication No. JP , Pub. Date: Sep. 24, 1999, Patent Abstracts of Japan. Abstract of Japanese Patent Publication No. JP , Pub. Date: Nov. 16, 2001, Patent Abstracts of Japan. Abstract of Japanese Patent Publication No. JP , Pub. Date: Dec. 6, 2002, Patent Abstracts of Japan. Abstract of Japanese Patent Publication No. JP , Pub. Date: May 23, 2003, Patent Abstracts of Japan. Abstract of Japanese Patent Publication No. JP , Pub. Date: May 23, 2003, Patent Abstracts of Japan. Abstract of Japanese Patent Publication No. JP , Pub. Date: Oct. 24, 2003, Patent Abstracts of Japan. * cited by examiner

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4 US. Patent Jan. 26, 2010 Sheet 2 M34 US 7,652,789 B2 Fig.2 First Embodiment Start 7 K510 Prepare spectral printing model (forward model converter) r515 Prepare a large number of virtual samples in ink space V f- 520 Calculate CIELAB values of virtual samples using the spectral printing model f- 525 Divide the CIELAB space into a plurality of cells and sort all the samples into the different cells De?ne evaluation index : Color lnconstancy Index + GI V Calculate evaluation index for each sample and select the best sample in each cell Create Ink pro?le Create smoothed lnk pro?le V Gamut map to produce printer lookup table End

5 US. Patent Jan. 26, 2010 Sheet 3 0f 34 US 7,652,789 B2 OON OOr 00v J I 00v ONr OOP 00 ON

6 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 N0 Done 7 S85 Yes f 590 Select the best sample in the cell Return I

7 US. Patent Jan. 26, 2010 Sheet 5 0f 34 US 7,652,789 B2 Fig.5 C Calculate GI ) Prepare parameter data J 5100 Prepare dot shape data J 5110 Prepare spectral re?ectance data _/_ S120 Create a subpixel plane I 5125 Create dots on the subpixel plane using dot shape data ~,-513g Have all colors been?nlshed 7 YES Calculate the li htness r5140 using spectral re ectance of all colors 51

8 US. Patent Jan. 26, 2010 Sheet 6 6f 34 US 7,652,789 B2 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

9 US. Patent Jan. 26, 2010 Sheet 7 0f 34 US 7,652,789 B2 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 Q #1'80 4'2 22 d d d 6 #1 #1' #1'80 #51 #1'80 #1 #1'80 #31 #1'80 9 X0 Y0

10 US. Patent Jan. 26, 2010 Sheet 8 0f 34 US 7,652,789 B2 Fig.8 1 R(/\) _ 0! > 380 A (nm) 780 spectral re?ectance data A

11 US. Patent Jan. 26, 2010 Sheet 9 0f 34 US 7,652,789 B2 2% 28:2 O 8% SEESE 3% Em Eu

12 US. Patent Jan. 26, 2010 Sheet 10 0f 34 US 7,652,789 B2 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 Have all (u,v) been?7nished YES lnt= J Pow/all of subpixels S230 NO f3235 Ave: 2 Z L(x,y y /% pixels $5240 End

13 US. Patent Jan. 26, 2010 Sheet US 7,652,789 B2 F cozuotoo 2: 82E? 22; B 26E = Saw t> E AEEBEF: 55:5: imam m

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15 US. Patent Jan. 26, 2010 Sheet 13 0f 34 US 7,652,789 B2 Fig.13 ( Smoothing process ) De?ne position data $5300 De?ne Smoothness J Evaluation Index Select a sample Select neighboring grid points I531 ) f5315 Calculate Smoothness Evaluation Index ~,-53g() Renew position data r5335 interpolate lnk amount data Store the optimized sample j/s340 YES m samples been finished 5345 YES Have predetermined number of times been?nished 7 S350

16 US. Patent Jan. 26, 2010 Sheet 14 0f 34 US 7,652,789 B2 3.3

17 US. Patent Jan. 26, 2010 Sheet 15 0f34 US 7,652,789 B2 Fig.15 L* $ : high lightness Y ' R G 52 6n the surface) G 53 i?side)

18 US. Patent Jan. 26, 2010 Sheet 16 6f 34 US 7,652,789 B2 :3; 52% SE3. MEEEE $.96

19 US. Patent Jan. 26, 2010 Sheet 17 0f 34 US 7,652,789 B2 Eu- smraw. 5%: 111 :5. 3% 513. m HEEE, 2.91

20 US. Patent Jan. 26, 2010 Sheet 18 0f 34 US 7,652,789 B2 EM- NQMTEMI 54min _w Em- EMYEM. ZET WU- SNHYEMI my? MEEEE

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