AU662412B2 - Color correction with a four-dimensional look-up table - Google Patents

Color correction with a four-dimensional look-up table Download PDF

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AU662412B2
AU662412B2 AU39162/93A AU3916293A AU662412B2 AU 662412 B2 AU662412 B2 AU 662412B2 AU 39162/93 A AU39162/93 A AU 39162/93A AU 3916293 A AU3916293 A AU 3916293A AU 662412 B2 AU662412 B2 AU 662412B2
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color
printing system
point
coarse
printing
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AU3916293A (en
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Richard L Rylander
Mark E Ver Murlen
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3M Co
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Minnesota Mining and Manufacturing Co
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N1/00Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
    • H04N1/46Colour picture communication systems
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N1/00Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
    • H04N1/46Colour picture communication systems
    • H04N1/56Processing of colour picture signals
    • H04N1/60Colour correction or control
    • H04N1/603Colour correction or control controlled by characteristics of the picture signal generator or the picture reproducer
    • H04N1/6052Matching two or more picture signal generators or two or more picture reproducers
    • H04N1/6055Matching two or more picture signal generators or two or more picture reproducers using test pattern analysis

Description

OPI, DATE 08/11/93 AOJP DATE 13/01/94 APPLN, ID 39162/93 l II I PCT NUMBER PCT/US93/02075 IIIIII II11lllll lll iI AU9339162 I Ul (PCT) (51) International Patent Classification 5 (11) International Publication Number: WO 93/20648 H04N 1/46 Al (43) International Publication Date: 14 October 1993 (14.10.93) (21) International Application Number: PCT/US93/02075 (81) Designated States: AU, CA, JP, KR, European patent (AT, BE, CH, DE, DK, ES, FR, GB, GR, IE, IT, LU, MC, (22) International Filing Date: 5 March 1993 (05.03.93) NL, PT, SE).
Priority data: Published 07/862,346 2 April 1992 (02.04.92) US With international search report.
(71) Applicant: MINNESOTA MINING AND MANUFAC- TURING COMPANY [US/US]; 3M Center, Post Office Box 33427, Saint Paul, MN 55133-3427 (US).
(72) Inventors: RYLANDER, Richard, L. VER MURLEN, Mark, E. Post Office Box 33427, Saint Paul, MN 55133-3427 (US).
(74) Agents: LEVINSON, Eric, D. et al,; Minnesota Mining and Manufacturing Company, Office of Intellectual Property Counsel, Post Office Box 33427, Saint Paul, MN 55133-3427 (US).
(54) Title: COLOR CORRECTION WITH A FOUR-DIMENSIONAL LOOK.UP TABLE (57) Abstract 52- A 50 72 A method of operating a computer sya zm (50) to COMPUTER generate a look-up table (42) to translate a first set of digital information defining a color image corrected for a first SET OF LOOK-UP MEASUREMENT printing system (56) into a second set of digital informa- POITS TABLE DATA tion for a second printing system for the purpose of generating an image on the second printing system which approximates the color characteristics of an image generat- 54 74 ed on the first printing system. The look-up table is empirically derived by first matching color measurement data (72) from special test target patterns (58, 68) from each printing system and then applying interpolation techniques to estimate appropriate translations for arbitrary in- PRINER1 56 66 PRNTER 2 puts.
68 58 ***oe TEST TEST PATTERN 1 PATTERN 2
MEASUREMENT
DEVICE
WO 93/20648 PCT/US93/02075 -1- Color Correction with a Four-Dimensional Look-up Table Field of The Invention The present invention relates to the graphics art field and more particularly to a method for converting a first set of color image data which has already been correctd for use with a first specific printer into a second set of data that will produce the same color characteristics when printed by a second printer which is different from the first specific printer.
)ackground of the invention Color printing systems seek to reproduce the broad range of colors present in natural scenes or synthetic computer-generated) images using typicaUy only three or four colorants (pigments, dyes, etc.) which are inherently less than ideal in their absorption characteristics. The necessity of working with non-ideal colorants not only limits the range of colors that may be reproduced, but requires careful compensation or recolor correction" to be applied so that the printed colors are the best possible match to those of the original artwork. Intentional distortions or modifications of the image characteristics may be made to accommodate the gamut of a specific printer, or for the purpose of "subjective improvements" in the final appearance of the print. This color correction is usually done as part of the process of converting the red-green-blue signals (hereinafter RGB) that measure the color of the original to yellow-magenta-cyan-black signals (hereinafter YMCK) that control the amounts of colorants used in a print. The complexity and approximations involved in the color correction process coupled with the fact that the reproduction will in general always differ from the original due to color gamut limitations makes it extremely desirable to preview or "proof' the color print by some means before committing to the time and expense of generating printing plates for a press run.
WO 93/20648 PCT/US93/02075 -2- Current proofing methods involve either the traditional time-consuming, labor-intensive process of generating films which would normally be used to expose printing plates and using those films to also expose special photosensitive materials which are then overlayed and registered by hand, the use of expensive specialized automated proofing devices, or the use of relatively inexpensive color thermal printers that usually provide only a rough approximation of the colors that will appear in the final printed image. It would be desirable to be able to produce a color proof on an inexpensive printer that would provide an accurate preview of the output from a different, typically more expensive and less accessible printer.
It is common practice in modem color correction techniques to "pre-solve" sets of RGB to YMCK conversions, store these solutions in a small look-up-table, and then apply interpolation to correct for arbitrary colors. In most cases, the initial solutions are based on an analytic model of printed colors the "Neugebauer equations," or some modification thereof). The weakness in these methods is in the inaccuracy of the analytic model's prediction of the real printing process due to nonlinearities and interactions between the various inks used.
U.S. Patent 3,612,753 to Nathaniel Korman describes a method for producing color pictures wherein the color characteristics of the reproduction match that of the original picture. This is done by printing a test pattern sampling the color space of a particular output device (but only Yellow, Magenta, and Cyan combinations the Black separation is generated by a Gray Component Replacement calculation), measuring the tristimulus values for each patch, and constructing a table based on the first two terms of a Taylor series expansion in the vicinity of the test colors (effectively linear interpolation). The test pattern consisted of only 512 patches (8 shades each of Yellow, Magenta, and Cyan). The combination of the small number of test patches, the simple linear interpcliih, and the calculated black results in a color conversion which is not sufficiently accurate for present day commercial, high-quality printing standards.
Empirical approaches have been proposed or tried where the analytic model is replaced by direct measurement of a large number of test patches to characterize 3 a particular combination of ink/paper/press conditions. See, for example, "Proposal for an Empirical Approach to Color Reproduction," by Warren Rhodes, Color Research and Application, Vol. 3, No. 4, winter 1978, pp. 197-201, proposing that 2x10' points be scanned in order to convert a set of RGB (tristimulus) pixel values to a suitable set of YMCK halftone dot percentages, However, the measurement of such a large number of points is presently impractical.
U.S. Patent 4,929,978 describes a color correction method applicable to a digital processing type of color copier, whereby a set of color patches of respectively different sample colors is printed using a set of printing data values, the color patches are than scanned and analyzed to obtain color patch input data values by the color copier, and each of all pf the.possible input color data values that can be produced by the scanner/analyzer section of the color copier is then related to one of the color patch input data values which is closest thereto in a 3dimensional color space. Each of these possible input color data values is thereby related to an appropriate color printing value, whereby a color correction table can be generated which provides correction accuracy that is independent of nonlinearity of color printing characteristics.
While colors can be described in a standardized way, each display or haid copy output device requires its own calibration and compensation to correct for nonlinear behavior and other nonideal characteristics. It would be desirable to have a means for the translation of color image data intended for one printing system into a form that results in the same color appearance when printed on a different system. Such a translation would have to take into account all printer properties automatically to provide a simple, direct translation between devices.
3a N1 DED SHEET 3a 1 Summary of the Invention The present invention is a method for operating a computer to generate a look-up table of stored data to translate a first set of digital information defining a color image corrected for a first printing system into a second set of digital information for a secc,.d printing system, for the purpose of generating an image on the second printing system which approximates the color characteristics of an image created on the first printing system. This method includes the steps of: a. generating data for a first test pattern of color patches to sample the output of a first printing system; b. generating data for a second test pattern of color patches to sample the output of a second printing system; c. printing the first and second test patterns of color patches as a function of the first and second test pattern data; d. measuring the color values of the color patches of the first and second color patterns to generate a first and second four-dimensional array of measurement data; 1LL', WO 93/20648 PCTr/US93/02075 -4e. expanding the first and second arrays of measurement data to create first and second coiarse, four-dimensional databases; f. searching for a point in the second coarse database for which the color difference between that point and a corresponding point in the first coarse database is minimized; and g. repeating step f for each point in the first database to generate a look-up table.
In one embodiment of the invention, step e is accomplished by separately performing a nonlinear interpolation on both arrays of measurement data. In another embodiment, step f is accomplished by constraining the search in the second database to a neighborhood around the point with the same YMCK indices as the point in the first database. The method preferably includes the step, after step f, of performing a linear interpolation within the second coarse database to estimate a point in the second printing system's fine color space for which the color difference between that point and a corresponding point in the first coarse database is minimized. The method preferably also includes the step of applying a computer implemented four-dimensional low-pass filter to the set of points gene~rated in step g.
The samplings of step a and b are prefecraly nonuniform, emphasizing the more visually important regions of color space. In one embodiment of the invention, six samples of each color (at color densities corresponding to halftone doi percentages of about 18%, 44%, 69%, and 100%) are used to formn a 6x6x6x6 matrix (containing a total of 1,296 color patches), and the first and second coarse four-dimensional databases are 17x17x17x17 matrixes.
Another embodiment of the present invention includes the look-up table generated by the method recited above.
Yet another embodiment of the present invention includes a method of operating a computer to use the look-up table generated by the method recited above to translate a first set of digital information defining a color image corrected WO 93/20648 PCT/US93/02075 for a first printing system into a second set of digital information for a second printing system, for the purpose of generating an image on the second printing system which approximates the color characteristics of an image generated on the first printing system. This method preferably includes the steps of: 1. picking a predetermined solution from the table which is closest to the actual YMCK value of a datapoint in the first set of digital information; 2. applying linear interpolation between the coarse color data points of the table to arrive at the best YMCK solution in fine color space; and 3. repeating steps 1 and 2 for each point in the first set of digital information.
Still yet another embodiment of the present invention includes a computer system for generating a look-up table to translate a first set of digital information defining a color image corrected for a first printing system into a second set of digital information for a second printing system, for the purpose of generating an image on the second printing system which approximates the color characteristics of an image generated on the first printing system. This system includes: data generating means for taking a partial sampling of the color spaces of the first and second printing systems; signal generating means, responsive to the data generating means, for signaling the first and second printing systems to print a first and second test pattern of color patches corresponding to the partial samplings from the first and second printing systems; printing means, responsive to the signal generating means, for printing the first and second test pattern of color patches; sensors for measuring the color characteristics of the color patches; WO 93/20648 PCT/US93/02075 -6means for generating data representative of the color characteristics of the color patches; interpolating means for expanding the data representative of the color characteristics of the color patches of the partial samplings of the color spaces of the first and second printing systems to create first and second four-dimensional coarse databases, corresponding to the first and second printing systems; and searching means for finding a datapoint in the coarse database of the second printing system for which the difference in color characteristics from a corresponding point in the coarse database of the first printing system is minimized, and repeating the search for every point in the space of the first printing system to generate a look-up table.
Brief Description of the Drawings The present invention will be further understood with reference to the accompanying drawings wherein: FIGURE 1 is a system for generating a four-dimensional look-up table in accordance with the present invention; and FIGURE 2 is a flow diagram for generating a four-dimensional look-up table according to the present invention.
Detailed Description of the Preferr" Embodiments Moder digital printing systems quantize images both spatially and tonally. A two-dimensional image is represented by an array of discrete picture elements or "pixels," and the color of each pixel is in turn represented by a plurality of discrete tone or shade values (usually an integer between 0 and 255) which correspond to the color components of the pixel: either a set of red, green, and blue (RGB) values (as an image is measured), or a set of yellow, WO 93/20648 PCr/US93/02075 -7magenta, cyan, and black (YMCK) values that will be used to control the amount of ink used by a printer to best approximate the measured color. Thus, a color image, which is comprised of a large number of pixels, may be stored in a computer as a set of data points.
However, a set of data points which has been prepared for one printing system cannot necessarily be used on a different printing system. This is because every printing system requires its own calibration to corrct for nonlinear behavior and other nonideal characteristics. Each printing system uses its own particular combination of ink, paper, and press conditions.
Therefore, if the same set of data points prepared for a first printing system were simply fed to a second printing system, the image produced by that second system would not closely resemble the image that would be created if that same set of data were fed to the first printing system. Thus, it is necessary to convert the set of data pointr which represents the first set of halftone dot percentages on the first printer into a second set of data points which represents that same set of color intensities on the second printer. The present invention accomplishes this by generating a four-dimensional matrix, or "look-up table," for converting the first set of data points on the first printing system into a second set of data points for the second printing system. The look-up table has four dimensions because each pixel has four characteristics: a certain amount of yellow, a certain amount of magenta, a certain amount of cyan, and a certain amount of black.
In order to generate this four-dimensional look-up table, it is necessary to select a set of data points having known amounts of each of the four colors and print a test pattern of color patches corresponding to the data points. The goal is to be able to print an image on a new or target "output" printer which will closely resemble the image printed by the standard printer. Typically, the standard printer output will be some proofing system such as the 3M Matchprintf' proofing system and the target output printer will be a continuoustone, thermal-dye diffusion printer.
WO 93/20648 PCT/US93/02075 -8- A system 50 for generating such a table is shown in FIGURE 1. A computer 52 generates a set of points 54 representative of the range of color shades and intensities available in the YMCK color spectrum. This range is also known as "four-dimensional color space." This data is communicated to printers 56 and 66, which print test patterns 58 and 68 of color patches. The color characteristics of the color patches in both test patterns 58 and 68 are tl e.
measured by an appropriate device 70, a color spectrophotometer). The measurement data 72 from test patterns 58 and 68 is fed into computer 52, which generates a look-up table 74 for converting data for use with printer 56 into data for use with printer 66.
One way to sample the printed output, of each system woud be by printing one color patch for every known combination of varying intensity levels for the fo;: colors. However, this is impractical because each of the four colors may be divided into 256 shades, ranging from white (no color) to the most intense presence of that color, and thz various shades of each color may be varied independently. Thus, in order to sample the entire range of possible color variations the entire "fine color space") of each printer, it would be necessary to print (256) 4 4.3 x 108 color patches on both printers.
The color characteristics of each of th(. 8.6 x 10' patches would then have to be measured. Such a mechanism for generating a )k-up table is impractical becaulse of the 8.6 x 10 measurements required.
The number of samples taken may be reduced by subdividing the color space of each color into a lesi precise or coarser number of samples such as 17 different levels of intensity instead of 256. This "coarse" four-dimensional matrix pro'ides a 16x16x16x16 partitioning of four-dimensional color space an array of 17x17x17x17 samples). While such an array is much smaller than the 4.3 X 10' color patches required for the 256x256x256x256 matrix, the 174 83,521 color patches required is still an inconvenient number to print and measure.
The size of the test pattern matrix may be decreased still further by selecting six particular levels of density for each color out of the 17 levels WO 93/20648 PC TIUS93/02075 -9possible. This 6x6x6x6 matrix would require the printing and measurement of 64 1,296 color patches, which is practical for hand measurements, if necessary.
The sampling of the color intensities should be nonuniform in order to concentrate on the visually important regions of color space without requiring an excessive number of individual color patches in the test pattern. More emphasis should be placed on bright highlights to better estimate the nonlinear regions of color space. Color densities corresponding to halftone dot percentages of 6.25%, 18.75%, 43.75%, 68.75%, and 100% for each of the four colors work well. (Th color densities used for each of the colors in a test patch are based on multiples of 6.25%, corresponding to the sixteen coarse steps from no color to maximum color density).
The small number of shades used in the actual test pattern do not necessarily have to be chosen "out of" the 17 levels possible. Any number of shades, regardless of their distribution, may be interpolated by the disclsed four-dimensional cubic spline process to generate the 17 equally spaced levels of color intensity.
The method according to the present invention for generating a look-up table for translating a first set of digital information for a standard printer (printer 1) to a second set of digital information for a target printer (printer 2) will now be described with reference to the flow diagram 10 set forth in FIGURE 2.
First, data is generated by a computer, as indicated at 12, t instruct printer 1 to print a test pattern which samples its printing range f color shades and intensities, its four-dimensional color space. This is done by first subdividing the color space of printer 1 into 17 equally spaced levels of color density for each of the four colors: yellow, magenta, cyan, and black (YMCK), and then generating a 6x6x6x6 matrix which is formed by selecting 6 levels from the 17 levels of coarse color space for each of the four colors. Similarly, a second set of data is generated by the computer for printer 2, as indicated at 22.
Next, the test pattern of color patches is printed on printer 1, as indicated at 14. A second test pattern is printed on printer 2, as indicated at 24.
The color patches from printer 1 are then measured to determine their color characteristics, as indicated at 16. A color may be characterized by its lightness, saturation, and hue. One commonly used color measurement system is the CIELAB L*a*b* system. In the L*a*b* system, the represents the lightness of the color, the represents the location of the color on a spectrum from red to green, and the represents the location of the color on a spectrum from yellow to blue. The and the value, taken together, represent the saturation and hue of the color.
One advantage of using the L*a*b* measurement system is that it provides a simple means for calculating the "difference" or "similarity" of two different colors in absolute terms. While this absolute value does not reflect in what manner two colors differ, it does reflect how far apart they are in color appearance. This latter characteristic is useful in carrying out the present invention, as will be discussed later. The same measurements are then carried out on the color patches printed by printer 2, as indicated at 26.
The color characteristics measurements for each color patch are then fed into a computer, The computer then expands the nonuniform 6x6x6x6 matrix into a uniform 17x17x17x17 matrix of coarse color space, as indicated at 18, This is done3'y applying a four-dimensional version of a cubic spline interpolation, a "curve" of best fit in four-dimensional space, to the 6x6x6x6 matrix. This interpolation converts the nonuniform 6x6x6x6 sample spacing into a uniform 17x17x17x17 matrix, and preserves most of the nonlinearities of the actual print process. A similar nonlinear interpolation is applied to the data from the measurements taken on the color patches from printer 2, as indicated at 28. Thus, a four-dimensional YMCK database of 17 83,521 L*a*b* values is generated for each printer, as indicated at 20 and cAi C' O E 0 S H E E
T
11 The next step, as indicated at 32, involves finding a point in the second printer's 17x17x17x17 database 30 of L*a*b values which most closely corresponds to a particular point in the first printer's 17x17x17x17 database of L*a*b* values. This step is repeated for every point in the database 20 of printer 1.
The L*a*b* value in the second printer's database 30 which most closely corresponds to a L*a*b* value in the first printer's database 20 is that L*a*b* value in the second printer's database 30 for which the difference in color characteristics between the two L*a*b* values is minimized. The difference between two colors, AE, is defined in the L*a*b* system as the square root of the sum of the squares of the differences between the L, a, and b values for each point, as indicated at 34: AE=.-AL'+Aa 2 '+b 2 The initial coarse match search is made more efficient by assuming that a datapoint in the database 30 of printer 2 having'a given color density of yellow, magenta, cyan, and black has a L*a*b* value which is reasonably close to a data point having that same level of color density in the database 20 of printer 1. This assumption allows the computer to restrict its search to minimize AE to a small neighborhood within the second printer's database around the data point which corresponds to the data point in the first printer's database 20. This search constraint has the added benefit of preserving much of the GCR (Gray Component Replacement) character of the original YMCK "solution." Since color differences were determined by three-component metric L*a*b* measurements, the "redundant Black" ink cannot be determined without some artificial constraint. Restricting the search neighborhood ensures that an equivalent amount of three-color neutral will not be replaced by black alone (or vice versa) in a color match found within that limited search neighborhood.
The neighborhood searched in the second printer's database 30 may be constrained to about four coarse levels above and five below the data point in printer 1 for which a match is sought. Thus, for example, for a yellow color jutensity of 7 on the coarse color scail of color density ranging from 0 for no ''1 WO 93/20648 PCT/US93/02075 12color to 16 for maximum color density (O through 16 representing the 17 points in the 17x17x17x17 matrix), the neighborhood searched in the second printer's database 30 would be constrained to a range of about 2 to 11 for the color yellow. A similar range would apply for magenta and cyan.
Of course the size of the neighborhood is constrained by the boundaries of the matrix itself. Thus, for a color intensity level of 2, the range would not be from -3 to 6, because -3 does not exist in the 17x17x17x17 matrix. Instead, the range would be 0 to 6. The search neighborhood in the second printer's database 30 for black may be constrained to two levels above and below the color density of a given point in the first printer's dt8te® 20 for which a match is sought.
Thus, the search neighborhood occupies a fouro -~Ltmeonal color space of no more than about 9x9x9x4, or.2,916 points, which is much smaller than the 17 83,521 available points in the 17x17x17x17 coarse color matrix. This decreases the time required for the computer to find a coarse match in the second printer's database 30 for every point in the first printer's database Once this "coarse" match has been found, the local four-dimensional space surrounding the point in the second printer's database 30 corresponding to the point in the first printer's database 20 is expanded by linear interpolation to estimate the "best-match" point in the second printer's database 30, as indicated at 36. A region of four-dimensional space is also known as a hypervolume or hyperspace. In the same way that one may make a linear interpolation between points on a two-dimensional area, one may interpolate between points in a three-dimensional space, or points in a four-dimensional hyperspace. This linear interpolation is necessary because the 17x17x17x17 matrix accounts for only 16 coarse spaces of color for each of the four colors. Because there are actually 256 different fine sublevels of color intensity for each of the four colors, there are 16 sublevels of color intensity for each of the 16 coarse color space. 'The linear interpolation thus involves determining which sublevel in the second printer's fine color matrix corresponds to ,int in the first printer's coarse color-matrix having a given L*a*b* value.
13- The computer does this in the following way. Computers store information in a series of bits, each of which may be represented by a or a Because there are two possible representations for each bit, and because there are 256 possible sublevels of color intensity for each color, eight bits are needed to represent each of the YMCK values 256). The four most significant bits the four left-most bits) of the eight bits represent the sixteen levels of coarse space which define the 16x16x16x16 divided color space, which defines the coarse 17x17x17x17 matrix. The four least significant bits the four right-most bits) of the eight bits represent the sixteen sublevP 1 s of color space which lie between each coarse level. The four least significant bits are used to estimate the best iatch in the second printer's fine color space which most closely matches the color space of the first printer by performing a linear interpolation between the L*a*b* values in the second printer's database This four-dimensional int:rpolation within the second printer's database ensures that theie will be no abrupt color changes between partitions of YMCK color space.
Repetition of the above steps of: minimizing,AE for each point within coarse cClor space, and then linearly interpolating the best match within tLat hypervolume, for every point in the first printer's database creates an initial look-up table, as indicated at 38.
The initial look-up table is then passed through a computer implemented four-dimensional filter with "cubic notch" kernel characteristics as indicated at This minimizes the effects of errors in the measurement data and ensures smooth color-to-color transitions.
The final look-up table 42 thus created is a 17x17x17x17 matrix of coarse color space for translating a first set of data points defining a color image corrected for printer 1 into a second set of data points defining a set of data points for printer 2. A computer uses look-up table 42 to look up the predetermined solution from the table which is closest to the YMCK value of a particular data point in the first set of digital information. The computer then applies a linear interpolation between the coarse color data points of the table to "I t WO 93/20648 PCT/US93/02075 14arrive at the best YMCK solution in fine color space. This process is repeated for every data point in the first set of digital information.
The 6x6x6x6 nonuniform sample array described above may be substituted with a smaller 5x5x5x5 array. Color densities of 12.5%, 37.5%, 62.5%, and 100% may be used for each of the four colors. While such an array has the advantage of being smaller than the 6x6x6x6 array (54 625 combinations instead of 64 1,296), the effects of measurement errors and local printer anomalies are much more significant. These errors are then more likely to result in noticeable color differences between images printed by the two devices.
It should be noted that the measurement data bases for the two printers need not be derived from identically sized arrays. For example, if there is greater uniformity and less nonlinearity in printer 1, then a look-up table may be generated by using a 5x5x5x5 matrix with printer 1, while using a 66x6x66 matrix for printer 2.
Although the present invention has been described with referenrc to preferred embodiments, workers skilled in the art will recognize that changes may be made in form and detail without departing from the spirit and scope of the invention.

Claims (1)

  1. 28. April 1994 What is claimed is: 1. A method for operating a computer (52) to generate a look-up table (42) of stored data to translate a first set of digital information defining a color image corrected for a first printing system (56) into a second-seof digital information for a second printing system for the purpose of generating an image on the second printing system which approximates the color characteristics of an image created on the first printing system, including the steps of: a. generating data (12) for a first testpattern of color patches to sample the printed color intensity output of a first 15 printing system; b. generating data (22) for a second test pattern of color patches to sample the output of a second printing system; cl. printing (14) the first test pattern of color patches (58) as a function of the first test pattern data; c2. printing (24) the second test pattern of color patches (68) as a function of the second test pattern data; d. measuring (16, 26) the color values of the printed color patches of the first and second color patterns to generate a first and second four-dimensional array of measurement data (72); e. expanding (18, 28) the first and second arrays of measurement data to create first and second coarse, four- 0 dimensional databases (20, f. searching (32) for a point in the second coarse database for which the color difference between that point and a pax icular point in the first coarse database is minimized and g. repeating step f for each point in the first database to generate a look-up table. 7,1NOEOSWET -2- 2. The method recited in claim 1, wherein step f is accomplished by constraining the search in the second coarse database (30) to a neighborhood around the point with the same color components as the particular point in the first coarse database 3. The method recited in claim 1, wherein the second printing system has a fine color space as entire range of possible color variations, and further including the step, after step f, of performing linear interpolations (36) within the second coarse database (30) to expand the local four-dimensional space surrounding the point in the second coarse database (30) corresponding to the particular point in the first coarse database (20) in order to estimate a point in the second printing system's fine color space for which the color difference between that point and a particular point in the first coarse database is minimized. 4. The method recited in claim 1, further including the step of applying a computer implemented four-dimensional low-pass filter (40) to the set of points generated in step g. The method recited in claim 1 wherein the samplings of steps a and b are nonuniform and wherein the nonuniform samplings include taking six samples of each color to form a 6x6x6x6 matrix, and wherein the first and second coarse, four-dimensional databases are 17x17x17x17 matrixes. 6. The method recited in claim 1 wherein step e is accomplished by separately performing a nonlinear interpolation on both arrays of measurement data. 7. A look-up table of stored data to translate a first set of digital information defining a color image corrected for a first printing system (56) into a second set ao digital information for a second printing system (66), fot the purpose of generating an image on the second AMENDED SHEET 1 1 I printing system which approximates the color characteristics of an image created on the first printing system, said look- up table comprising a four-dimensional database and being renerated by the method recited in claim 1. 8. A method of operating a computer (52) to use a look-up table (42) of stored data to translate a first set of digital information defining a color image corrected for a first printing system (56) into a second set of digital information for a second printing system (66) for the purpose of generating an image on the second printing system which approximates the color characteristics of an image generated on the first printing system, said look-up table comprising a four-dimensional database and being generated by the method recited in claim 1. 9. The method of operating a computer to use the look-up table recited in claim 8, including the steps of: 1. picking a predetermined solutinr from the table which is closest to the actual YMCK value of a datapoint in the first set of digital information; 2. applying linear interpolation between the coarse color data points of the table to arrive at the best YMCK--solution in fine color space; and 3. repeating steps 1 and 2 for each point in the first set of digital information. A computer system (50) for generating a look-up table (42) to translate a first set of digital information defining a color image corrected for a first printing system (56) into a second set of digital information for a second printing system for the purpose of generating an image on the second printing system which approximates the color characteristics of an image Sgenerated ot the first printing system, includi C -AMENDED SHEET y/ I 1 I k data generating means (12, 22) for generating first and second test patterns of color patches to take respectively partial samplings of the color spaces of the first and second printing systems; signal generating means, responsive to the data generating means, for triggering the first and second printing systems to print respectively said first and second test patterns of color patches (14, 24) corresponding to the partial samplings of the first and second printing systems; printing means (56, 66), responsive to the signal generating means, for printing the first and second test pattern of color patches; sensors (76) for measuring the color characteristics of the printed color patches; means (52) for generating data (72) representative of the measured color characteristics of the color patches; interpolating means (18, 28) for expanding 'he data representative of the measured color characteristics of the color patches of the partial samplings of the color spaces of the first and second printing systems to create first and second four-dimensional coarse databases, corresponding to the first and second printing systems; and searching means (32) for finding a datapoint in the coarse database of the second printing system for which the difference in color characteristics between that point and a particular point in the coarse database of the first printing system is minimized, and repeating the search for every point in the space of the first printing system to generate a look-up table. ri -19- 11. A method of operating a computer, substantially as described herein with reference to the accompanying drawings. DATED this TWENTY-THIRD day of AUGUST 1994 Minnesota Mining and Manufacturing Company Patent Attorneys for the Applicant SPRUSON FERGUSON C. C S C C. hO C q*e. 0 *4 0* S 0O Be be p 0 000S 0 C C C. S 000* 0~ SO 6 S CSOOS* 0 KMH/6795U
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Families Citing this family (29)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5612902A (en) * 1994-09-13 1997-03-18 Apple Computer, Inc. Method and system for analytic generation of multi-dimensional color lookup tables
JPH0948108A (en) * 1995-08-08 1997-02-18 Dainippon Screen Mfg Co Ltd Correction table forming method for proof mechanism
JP3436851B2 (en) * 1995-12-11 2003-08-18 大日本スクリーン製造株式会社 How to change the data conversion table
JP3254183B2 (en) * 1997-05-08 2002-02-04 株式会社セイコーアイ・インフォテック Method and apparatus for creating color conversion table
US7382379B1 (en) 1997-06-27 2008-06-03 Eastman Kodak Company Arrangement for mapping colors between imaging systems and method thereof
US6108442A (en) * 1997-06-27 2000-08-22 Minnesota Mining And Manufacturing Company Characterization of color imaging systems
US6088038A (en) * 1997-07-03 2000-07-11 Minnesota Mining And Manufacturing Company Arrangement for mapping colors between imaging systems and method therefor
US6362808B1 (en) 1997-07-03 2002-03-26 Minnesota Mining And Manufacturing Company Arrangement for mapping colors between imaging systems and method therefor
US7030888B1 (en) 1999-03-01 2006-04-18 Eastman Kodak Company Color processing
EP1181812B1 (en) * 1999-05-28 2009-09-30 Eastman Kodak Company Constrained multi-dimensional color transformation
US7057765B1 (en) 1999-05-28 2006-06-06 Eastman Kodak Company Constrained multi-dimensional color transformation
EP1237356A4 (en) * 1999-12-06 2005-01-05 Photographic Art Res Lab Hue calibration system for digital image printing
US6925205B2 (en) 2000-08-07 2005-08-02 Digital Colour Measurement Limited Methods, systems and computer program products for color matching
GB2365648A (en) * 2000-08-07 2002-02-20 Dentpark Ltd Colour correction in image processing
US6967747B2 (en) * 2001-02-22 2005-11-22 Eastman Kodak Company Method and system for matching marking device outputs
CN1193270C (en) * 2001-09-10 2005-03-16 佳能株式会社 Image formation device and regulation method thereof
JP2004069947A (en) 2002-08-06 2004-03-04 Canon Inc Color image forming apparatus and control method for its density-gradation property
JP4564705B2 (en) 2002-09-10 2010-10-20 キヤノン株式会社 Color image forming apparatus, control method therefor, control program, and storage medium
JP2004304773A (en) 2003-03-19 2004-10-28 Ricoh Co Ltd Image processing method, program, computer-readable information recording medium, image processing apparatus and image forming apparatus
US7881530B2 (en) * 2007-04-02 2011-02-01 Eastman Kodak Company Adjusting colorants specified in a digital image
US8125687B2 (en) 2008-10-06 2012-02-28 Canon Kabushiki Kaisha Target for color characterization of color printer
JP5482626B2 (en) * 2010-11-15 2014-05-07 セイコーエプソン株式会社 Printing system, correspondence information creation method
JP5760785B2 (en) * 2011-07-15 2015-08-12 株式会社リコー Image processing apparatus and image processing system
JP5799634B2 (en) * 2011-07-22 2015-10-28 株式会社リコー Image processing apparatus and image processing system
JP5733083B2 (en) * 2011-07-28 2015-06-10 株式会社リコー Image processing apparatus and image processing system
JP6150779B2 (en) * 2013-11-15 2017-06-21 富士フイルム株式会社 Color conversion table creation device and method, and program
CN105706434B (en) 2013-11-15 2019-01-08 富士胶片株式会社 Color-conversion table producing device and method
JP6140665B2 (en) * 2013-11-15 2017-05-31 富士フイルム株式会社 Color conversion table creation device and method, and program
WO2015072542A1 (en) * 2013-11-15 2015-05-21 富士フイルム株式会社 Color conversion table creation device and method, program, and recording medium

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0144188A2 (en) * 1983-12-07 1985-06-12 Xerox Corporation Copy density correction system
US4929978A (en) * 1987-10-23 1990-05-29 Matsushita Electric Industrial Co., Ltd. Color correction method for color copier utilizing correction table derived from printed color samples

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE2328874A1 (en) * 1973-06-06 1975-01-09 Gretag Ag Printing block manufacture - for mono-or multi-colour printing

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0144188A2 (en) * 1983-12-07 1985-06-12 Xerox Corporation Copy density correction system
US4929978A (en) * 1987-10-23 1990-05-29 Matsushita Electric Industrial Co., Ltd. Color correction method for color copier utilizing correction table derived from printed color samples

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