EP0914945A2 - Procédé pour régler l'encrage dans une machine d'impression - Google Patents

Procédé pour régler l'encrage dans une machine d'impression Download PDF

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Publication number
EP0914945A2
EP0914945A2 EP98119006A EP98119006A EP0914945A2 EP 0914945 A2 EP0914945 A2 EP 0914945A2 EP 98119006 A EP98119006 A EP 98119006A EP 98119006 A EP98119006 A EP 98119006A EP 0914945 A2 EP0914945 A2 EP 0914945A2
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EP
European Patent Office
Prior art keywords
color
value
picture element
sensitivity
determined
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Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
EP98119006A
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German (de)
English (en)
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EP0914945B1 (fr
EP0914945A3 (fr
Inventor
Harald Ammeter
Hans Ott
Nikolaus Pfeiffer
Manfred Schneider
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Heidelberger Druckmaschinen AG
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Heidelberger Druckmaschinen AG
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Publication of EP0914945A3 publication Critical patent/EP0914945A3/fr
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Publication of EP0914945B1 publication Critical patent/EP0914945B1/fr
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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B41—PRINTING; LINING MACHINES; TYPEWRITERS; STAMPS
    • B41F—PRINTING MACHINES OR PRESSES
    • B41F33/00—Indicating, counting, warning, control or safety devices
    • B41F33/0036—Devices for scanning or checking the printed matter for quality control
    • B41F33/0045—Devices for scanning or checking the printed matter for quality control for automatically regulating the ink supply

Definitions

  • the invention relates to a method for regulating the color application in a Printing machine according to the preamble of the independent claim.
  • Such a is referred to as the color distance controlled control process e.g. known from EP-B2-0 228 347 and from DE 195 15 499 C2.
  • the process involves printing a printed sheet in a number using the printing press of test areas with respect to a selected color coordinate system measured colorimetrically. The color coordinates obtained thereby become the Color distance vectors to target color coordinates based on the same color coordinate system calculated.
  • These color distance vectors are created using Sensitivity matrices converted into layer thickness change vectors, and the Regulation of the color guide of the printing press is based on the Color distance vectors converted layer thickness change vectors made.
  • the fields from with the actual print image are used as test areas printed color control strips used.
  • scanners which allow the entire image content of a printed sheet in large numbers of relatively small picture elements with reasonable effort and in a very short time measured colorimetrically or spectrophotometrically.
  • These scanners offer the basic metrological requirements for the regulation of Ink guide of a printing machine not only to use test strips printed with it, but the color information from all picture elements of the whole actual To use the printed image for this purpose.
  • a difficulty with this as a so-called Measurement in the picture is by the in the Given the four-color printing problem of the black component, to which As is well known, not only the printing ink black itself, but also that superimposed colored colors contribute.
  • the present Invention Based on this prior art, it is an object of the present Invention to improve a method of the generic type in that it also for the so-called measurement in the image with practically justifiable effort can be carried out.
  • the measurement in the image is the colorimetric Measurement of the entire printed image in a very large number (typically several thousand) of small picture elements (typically a few millimeters in diameter) and the evaluation of those obtained from the individual picture elements colorimetric values for the calculation of the control variables for the coloring of the Printing machine understood.
  • Another object of the invention is that Process also to improve the influence of everyone involved Printing inks, in particular also the printing ink black, can be safely separated can.
  • Print sheets 3 which the desired print image and possibly additional Have pressure control elements.
  • the printed sheets 3 are up to date Removed printing process and a spectrophotometric scanner 2 fed. This scans the printed sheets 3 essentially over the entire Surface from pixel to pixel.
  • the size of the individual picture elements 4 is typical about 2.5 mm x 2.5 mm corresponding to around 130,000 picture elements in one Sheet 3 common dimensions.
  • the generated by the scanner 2 Samples - typically spectral reflectance values - are stored in one Evaluation device 5 analyzed and input variables for one of the Control device 9 assigned to printing press 1 which in turn processes the Coloring elements of the printing press 1 in accordance with these input parameters controls.
  • the input variables are, at least in the case of an offset printing press, typically around zonal layer thickness changes for the individual inks involved in printing.
  • the determination of the above Input variables or changes in layer thickness are made by comparing the Sampled values or quantities derived therefrom, in particular color measurement values (Color locations or color vectors) of a so-called OK sheet 3 with the corresponding sizes of one taken from the current printing process Printing sheet 3 in the sense that the by the input sizes or Changes in layer thickness caused changes in the settings of the Coloring organs of the printing press 1 the best possible adjustment of the color impression of the continuously generated printed sheets 3 to the OK sheet Have consequence.
  • another OK sheet 3 can also be used Reference can be used, for example corresponding default values or corresponding values obtained from prepress.
  • the arrangement outlined essentially corresponds conventional, e.g. in EP-B2 0 228 347 and DE-A 44 15 486 in detail described arrangements and methods for color control of Printing machines and therefore requires no closer for the specialist Explanation.
  • the basic structure of the scanning device 2 and the evaluation device 5 go from Fig. 2.
  • the scanning device 2 comprises a substructure in the form of a somewhat inclined one rectangular measuring table T, on which the printed sheet 3 to be measured is positioned can be.
  • a measuring carriage W is arranged on the measuring table T, on or in which is a spectrophotometric measuring unit, not shown here.
  • the Measuring carriage W extends over the entire depth of the measuring table T in Coordinate direction y and is motorized across its width in the coordinate direction x linearly movable back and forth, with appropriate drive and control devices A are provided in the measuring carriage W and on or under the measuring table T.
  • the evaluation device 5 comprises a computer C with a keyboard K and a monitor M.
  • the computer C works together with the drive and control device A on the measuring table T or in the measuring carriage W, controls the movement of the measuring carriage W and processes that of the one in the measuring carriage W located spectrophotometric measuring unit generated scanning signals.
  • the scanning signals or quantities derived therefrom typically for example the color values of the individual picture elements 4, can be displayed on the monitor M, for example in terms of pictures.
  • monitor M and fact K are used for interactively influencing the evaluation processes, but this is not the subject of the present invention and is therefore not explained in more detail.
  • the spectrophotometric measuring unit comprises a plurality of reflectance measuring heads arranged linearly along the measuring carriage W and a spectral photometer optically connected to these measuring heads via an optical fiber multiplexer.
  • the measuring unit scans the printed sheet 3 when moving the measuring carriage W back and forth across the entire printed sheet surface in a plurality - typically 320 - of parallel linear tracks spectrophotometrically, with each track having a large number of individual picture elements 4, the dimensions of which in the coordinate direction x are defined by the speed of movement of the measuring carriage W and the temporal resolution of the individual scanning processes.
  • the dimensions of the picture elements 4 in the coordinate direction y are determined by the spacing of the scanning tracks.
  • the dimensions of the individual scanned image elements 4 are approximately 2.5 mm ⁇ 2.5 mm, which results in a total number of approximately 130,000 image elements in the case of a printing sheet 3 of conventional size.
  • the reflectance spectra of the picture elements 4 are available as scanning signals for each individual picture element 4 of the printing sheet 3, which the computer C evaluates and processes further in the manner described below for determining the input variables for the printing press control device 9.
  • Scanning devices 2 which a printing sheet 3 in two dimensions allow to be measured densitometrically or spectrophotometrically, are widespread in the graphics industry and therefore need for the Expert no further explanation, especially for the concerns of the present Invention the pixel-by-element measurement of the printed sheets 3 also by means of a Handheld colorimeter or handheld spectrophotometer could be done.
  • a special one A suitable scanning device 2 corresponding to the one outlined above is e.g. in the German patent application 196 50 223.3 described in all details.
  • An essential aspect of the present invention is the inclusion of the printing ink black in the calculation of the input variables for the printing press control or in the calculation of the intermediate variables required for these input variables.
  • the printed sheets 3 are not only measured in the visible spectral range (approx. 400-700 nm), but also at at least one point in the near infrared, where only the printing ink black has a significant absorption.
  • the reflectance spectra of the individual picture elements 4 thus consist of reflectance values in the visible spectral range, typically 16 reflectance values at intervals of 20 nm each, and a reflectance value in the near infrared range.
  • Color values (color coordinates, color vectors, color locations) relating to a selected color space are calculated from the reflectance values of the visible spectral range. It is preferable to choose a color space that is equally spaced in terms of perception, typically the so-called L, a, b color space according to CIE (Commission Internationale de l'Eclairage).
  • L, a, b color space
  • CIE Commission Internationale de l'Eclairage
  • the color and infrared values L, a, b and I present for each individual picture element 4 after the scanning of a printing sheet 3 form the starting point for the calculation of the input variables for the printing press control device 9. These calculations are also carried out in the computer C.
  • the three color values L, a, b (or the corresponding values of another color system) and the value quadruple comprising the infrared value I for simplifying purposes as the (four-dimensional) color vector F of the relevant picture element 4, so: F (L, a, b, I)
  • color locus in the four-dimensional color space is understood to mean a point whose four coordinates in the color space are the four components of the color vector.
  • the color vectors of the picture elements 4 of the OK sheet 3 or another reference are often also referred to as target color vectors.
  • ⁇ (L i - L r ) 2nd + (a i - a r ) 2nd + (b i - b r ) 2nd + (I i - I r ) 2nd ⁇ 0.5 where the indices i and r in turn have the meaning given.
  • the computer C calculates the color distance vector ⁇ F for each picture element 4 of the current printing sheet 3 from the color vectors F determined on this and the OK sheet 3.
  • the indices c, g, m and s stand for the printing inks cyan, yellow, magenta and black, the correspondingly indexed components of the vector are the relative changes in layer thickness for the printing ink indicated by the index.
  • an offset printing machine 1 is designed zonally, i.e. the printing takes place in a series of parallel zones (typically 32), at which Printing machine 1 separate coloring organs are provided for each zone, the Regulation - at least for the interests of the present invention - independent of one another.
  • the mutual influence of neighboring pressure zones and their Consideration in the printing press control is not the subject of present invention and is therefore disregarded.
  • the following Comments on the actual control of the printing press 1 or the calculation of the corresponding input variables for the press control relate each to a pressure zone and apply equally to all pressure zones.
  • the coefficients of the sensitivity matrix S are usually referred to as color value gradients.
  • the summary term sensitivity matrix is used to represent these 16 color value gradients.
  • the sensitivity matrix S is a linear substitute model for the relationship between the changes in the layer thicknesses of the printing inks involved in the printing and the resulting changes in the color impression of the image element 4 printed with the changed layer thickness values.
  • the sensitivity matrix S only from the To form components L, a, b of a three-dimensional color vector F.
  • On the Component I can be omitted if there are several Image elements 4 in relation to the flat coverage of the printing inks involved is independent of each other, which is the case in most cases.
  • each printing zone comprises a large number, typically approximately 4000, individual picture elements.
  • the individual matrix equations for the individual picture elements must therefore be combined to form a matrix equation system which is overdetermined according to the reduced number of picture elements and which is to be solved according to the known methods of compensation calculation using a framework or secondary condition.
  • a framework or secondary condition In the case of 4000 picture elements, there is a system of 4000 matrix equations or 16000 simple algebraic equations with the four unknowns ⁇ D c , ⁇ D g , ⁇ D m and ⁇ D s .
  • the mean quadratic error should be minimal.
  • the mean square error is understood to mean the mean value of the squares of the color distances ⁇ E of the individual picture elements remaining after the corrected layer thicknesses have been applied.
  • ⁇ F ⁇ means a column vector with 16000 components ( ⁇ L 1 , ⁇ a 1 , ⁇ b 1 , ⁇ I 1 , ⁇ L 2 , ⁇ a 2 , ⁇ b 2 , ⁇ I 2 .
  • ⁇ S ⁇ a matrix with 4 rows and 4000 columns
  • ⁇ D a column vector with the four unknowns ⁇ D c , ⁇ D g , ⁇ D m and ⁇ D s as components.
  • the indices of the components of ⁇ F ⁇ relate to the picture elements 4 1-4000, ie the components of ⁇ F ⁇ are the determined components of the color distance vectors ⁇ F of the individual picture elements 4 compared to the corresponding picture elements 4 of the OK sheet.
  • the calculation of the layer thickness change vector ⁇ D is based on Although this is possible in principle, it requires enormous computing effort and corresponding expenditure of time that goes far beyond the limits of what is practically possible exceeds. In particular, a sufficiently fast control, such as in practice, especially in modern high-performance printing presses 1 is not feasible.
  • the computing effort for determining the 4000 Sensitivity matrices (64,000 coefficients in total) for each Image elements 4 are not considered at all and move the Feasibility even further away.
  • the visual color impression (metrologically the color value, color location or color vector) of a picture element 4 is in offset raster printing by the percentage Raster values (area coverage) of the printing inks involved and, to a lesser extent Mass determined by the layer thickness of the printing inks.
  • the grid values or Area coverage (0-100%) are due to the underlying printing plates fixed and practically unchangeable. Influenced the color impression and can therefore only be regulated via the layer thicknesses of the printing inks involved become.
  • the terms "grid value” and "area coverage” are given below used synonymously.
  • the totality of all possible combinations R of percentage screen values of the printing inks involved (usually cyan, yellow, Magenta, black) is referred to below as a grid space (four-dimensional).
  • each Raster value combination R a precisely defined color impression or color vector F the picture element 4 printed with this raster value combination R; so it exists a clear assignment of raster value combination R to color location or color vector F; the grid space can be clearly mapped onto the color space, although the color space is not completely occupied because it also contains non-printable color locations contains. Conversely, there is generally no clear relationship.
  • the one Any raster value combination R belonging to color vector F can be empirically determined by Sample prints determined or using a suitable model that the Printing process sufficiently accurate under the given printing conditions describes, can be calculated.
  • a suitable model is e.g.
  • the Area coverage values of the picture elements 4 are used. Are the Area coverage values from prepress are already known, so there is no need Measurement on test prints (exception: full tones).
  • Raster value combinations R the associated color vector F and the associated Sensitivity matrix S calculated in advance and stored in a table.
  • This the entirety of all sensitivity matrices S and color vectors F calculated in this way containing table is referred to below as a raster color table RFT.
  • the associated raster value combination R is calculated from the color vector F of the respective picture element according to a particularly advantageous calculation method, which will be explained in more detail below, and the associated sensitivity matrix S is calculated from the raster value combination R from the predicted Raster color table taken from RFT. In this way it is possible to quickly determine the required sensitivity matrices without undue computation.
  • a number of, for example, 1296 equally spaced discrete screen value combinations R iR (6 discrete screen percentages A C , A G , A M , A S for the printing colors cyan, yellow, magenta, black) are defined in the screen space: i 0 1 2nd 3rd 4th 5 A C 0 20th 40 60 80 100% A G 0 20th 40 60 80 100% A M 0 20th 40 60 80 100% A S 0 20th 40 60 80 100%
  • a sensitivity matrix S iR is calculated for each of these 1296 discrete raster value combinations R iR and stored in the raster color table RFT.
  • the calculated color vector F iR belonging to the discrete raster value combinations R iR is also stored in the table RFT.
  • the raster color table RFT thus contains a total of 1296 color vectors F iR and 1296 associated sensitivity matrices S iR .
  • the grid space is preferably quantized in two stages.
  • the first stage for only 256 discrete halftone value combinations (corresponding to four discrete halftone percentage values 0%, 40%, 80%, 100% for each of the printing colors cyan, yellow, magenta, black), the associated color vectors and the are based on the offset printing model associated sensitivity matrices.
  • the second stage the associated color vectors and sensitivity matrices for the missing raster percentage values 20% and 60% are calculated by linear interpolation from the color vectors and sensitivity matrices of the 16 nearest discrete raster value combinations.
  • a sensitivity matrix S iR whose associated discrete raster value combination R iR is closest to the raster value combination R calculated from the color vector F is now assigned to a color vector F determined for a picture element 4.
  • the calculated raster value combination is replaced by R each closest discrete halftone value combination R iR and receives associated with the precalculated to this discrete halftone value combination R iR sensitivity matrix S iR.
  • the rest area is quantized by dividing it into a number of subspaces. All color vectors F, the calculated associated raster value combinations R of which fall into one and the same of these subspaces, are assigned the same sensitivity matrix S iR previously calculated for this subspace.
  • the subspaces are defined by the following six value ranges of the percentage raster portions (area coverage) of the four printing inks involved: 0 .... 10, 10 .... 30, 30 .... 50, 50 .... 70, 70 .... 90, 90 .... 100%
  • the (including infrared value I four-dimensional) color space is also subjected to quantization, ie divided into a number of subspaces, for determining the raster value combination R from the color vector F.
  • quantization ie divided into a number of subspaces, for determining the raster value combination R from the color vector F.
  • a number of discrete color locations, each with discrete coordinate values, are defined in the color space.
  • the four-dimensional color space can be quantized, for example, such that each dimension L, a, b, I of the color space can only assume 11 discrete values, resulting in a total of 14641 discrete color locations F iF : i 0 1 2nd 3rd 4th 5 6 7 8th 9 10th L 0 10th 20th 30th 40 50 60 70 80 90 100 a -75 -60 -45 -30 -15 0 15 30th 45 60 75 b -45 -30 -15 0 15 30th 45 60 75 90 105 I. 0 10th 20th 30th 40 50 60 70 80 90 100
  • the associated halftone value combinations R iF are calculated using the special calculation method explained below and, unless they coincide with a discrete halftone value combination R iR , are replaced by the closest discrete halftone value combination R iR .
  • this mapping is calculated in advance and stored in an assignment table referred to below as the raster index table RIT.
  • each color vector F determined for a picture element 4 is replaced by the closest discrete color location F iF .
  • the discrete raster value combination R iR assigned to this discrete color location F iF is then taken from the raster index table RIT and the corresponding sensitivity matrix S iR is read out from the raster color table RFT and assigned to the color vector F.
  • the sensitivity matrix S can be determined with comparatively little computing effort and correspondingly quickly for any determined color vector F, although this can only be selected from one of the 1296 precalculated sensitivity matrices S iR . In practice, however, this is sufficient.
  • the color space is divided into 81 sub-areas T iT as follows: i 0 1 2nd L (0..120) 0..20..40 40..60..80 80..100..120 a (-90 .. + 90) -90 ..- 60 ..- 30 -30..0 .. + 30 +30 .. + 60 .. + 90 b (-60 .. + 120) -60 ..- 30..0 0 .. + 30 .. + 60 +60 .. + 90 .. + 120 I (0..120) 0..20..40 40..60..80 80..100..120
  • iT i (L) * 3 0 + i (a) * 3 1 + i (b) * 3 2nd + i (I) * 3 3rd
  • A means the raster vector with the raster percentage values A C , A G , A M , A S of the four printing inks involved as components, and U iT a conversion matrix with 16 coefficients, which shows the partial derivatives (gradients) of the components of the raster vector according to the components of the color vector are. If the conversion matrices U iT of the individual partial areas T iT are known, the associated raster vector A or the associated raster value combination R can thus be calculated for each color vector F.
  • the problem is therefore reduced to the calculation of the conversion matrices U iT for the individual sub-areas T iT or more precisely for the color vectors F iT from their centers.
  • the conversion matrices are calculated using a weighted linear compensation calculation using the values from the raster-color table RFT explained above, that is to say the 1296 discrete raster value combinations R iR and the associated discrete color vectors F iR .
  • RFT raster-color table
  • Weight of the support points, ie the discrete color locations F iR of the raster color table RFT, for the compensation calculation is determined according to a suitable function with the color distance between the support points and the respective color vector F iT as parameters.
  • the compensation calculation is linear, ie there are discontinuities at the transitions of the individual sub-areas T iT , which are insignificant in practice.
  • the raster color table RFT and the raster index table RIT are calculated and saved in accordance with the above explanations for the prevailing printing conditions. If already determined and saved on a storage medium, the tables RFT, RIT can of course also be called up from this storage medium. On the basis of the two tables RFT, RIT, it is possible without substantial computing effort to assign the color vectors F determined for the individual picture elements 4 to the discrete sensitivity matrix S that applies in each case. Now a current print sheet 3 is removed from the current printing process and measured by the scanning device 2 in the manner described, with the color vector F and the color distance vector ⁇ F for each picture element 4 from the corresponding picture element 4 of a previously measured analog OK sheet in the computer 5 23 is determined.
  • the total number of picture elements 4 is, for example, around 130,000, so that with the usual 32 printing zones, the color vectors and color distance vectors of around 4,000 picture elements 4 each have to be processed per printing zone.
  • the following explanations apply equally to one pressure zone and to all pressure zones.
  • Layer thickness change vector ⁇ D is then calculated so that the mean quadratic error should be minimal across all sensitivity classes.
  • middle quadratic error is the mean of the squares according to the Application of the corrected layer thicknesses remaining mean color distances of the Understanding picture elements 4 of the individual classes.
  • the areas of the sensitivity classes are preferably defined in the grid space. For example, 16-256 classes can be provided. The more classes there are, the fewer errors arise from averaging, but the more the computing effort increases.
  • the definition of 81 classes which result from dividing the grid space into 81 subspaces according to the following scheme, has proven to be a practical compromise: n 0 1 2nd A C 0% .... 30% 30% .... 70% 70% .... 100% A G 0% .... 30% 30% .... 70% 70% .... 100% A M 0% .... 30% 30% .... 70% 70% .... 100% A S 0% .... 30% 30% 30% .... 70% 70% .... 100%
  • iK n (A C. ) * 3 0 + n (A G ) * 3 1 + n (A M ) * 3 2nd + n (A S ) * 3 3rd
  • the grid space comprises 1296 discrete grid value combinations R iR .
  • Exactly 16 raster value combinations R iR thus fall in each of the 81 subspaces and, accordingly, 16 (similar) sensitivity matrices S iR fall into each sensitivity class K iK .
  • Sensitivity classes K iK determined. Using the raster index iR and the raster color table RFT, the sensitivity matrix S associated with the color vector F of the picture element 4 is further determined. After these steps, the color vector F, the color distance vector ⁇ F, the raster index iR, the sensitivity matrix S and the class index iK are thus available for each of the approximately 4000 image elements 4 of a printing zone.
  • the raster index iR defines the raster value combination R, ie the percentage raster portions (area coverage) of the printing inks involved for the image element 4, the class index iK defines the affiliation of the image element 4 to a specific sensitivity class.
  • the picture elements 4 or their color distance vectors ⁇ F become one Weighting process subjected to the influence of area coverage and of Positioning errors are taken into account.
  • ⁇ E p 2 is the square of the color distance of the picture element 4 from the unprinted position of the printed sheet 3 (paper white).
  • weight factor g 1 Another variant for the determination of the weight factor g 1 is that it receives the value 1 as the maximum value if the sum of the area coverings of the respective picture element 4 falls below a predetermined threshold value, preferably the value 250. Otherwise, the weighting factor g1 is given a smaller value, in particular a value of 0. A combination of the two variants mentioned above is also conceivable.
  • ⁇ E M means the sum of the color distances between the picture element 4 and its 8 neighboring picture elements 4.
  • ⁇ E M2 means the sum of the squares of the color distances of the picture element 4 from its 8 neighboring picture elements 4.
  • the difference between the area coverage values and the neighboring picture elements 4 can also be used, with an increasing difference the weight factor g2 likewise receiving a smaller value going towards 0.
  • the color distance vectors ⁇ F of the individual picture elements 4 and the associated sensitivity matrices S are weighted multiplicatively.
  • the weighted color distance vectors and sensitivity matrices of the individual picture elements 4 are referred to below as ⁇ F g and S g .
  • the totals are generated across all picture elements in a class.
  • the resolution is again carried out by means of a weighted linear compensation calculation with the additional condition that the mean square error should be minimal, whereby the mean square error means the mean value of the squares of the mean color distances ⁇ E MK of the individual sensitivity classes remaining after application of the layer thicknesses corrected by ⁇ D becomes.
  • ⁇ F z ⁇ means a column vector with 4x81 components, which results from the stacking of the 81 vectors ⁇ F MK with their 4 components each.
  • ⁇ S z ⁇ is a matrix with 4 rows and 81 columns, which results from the 81 sensitivity matrices S MK being arranged horizontally side by side.
  • ⁇ D is a column vector with the four unknowns ⁇ D c , ⁇ D g , ⁇ D m and ⁇ D s as components.
  • the desired layer thickness change vector ⁇ D with its components ⁇ D c , ⁇ D g , ⁇ D m and ⁇ D s are obtained for each printing zone, which are supplied to the control device 9 as input variables and thus cause the required adjustment of the coloring elements of the printing press 1 that the mean square error mentioned is minimized in each pressure zone.

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  • Engineering & Computer Science (AREA)
  • Quality & Reliability (AREA)
  • Inking, Control Or Cleaning Of Printing Machines (AREA)
  • Facsimile Image Signal Circuits (AREA)
  • Spectrometry And Color Measurement (AREA)
EP98119006A 1997-11-06 1998-10-08 Procédé pour régler l'encrage dans une machine d'impression Expired - Lifetime EP0914945B1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE19749066 1997-11-06
DE19749066A DE19749066A1 (de) 1997-11-06 1997-11-06 Verfahren zur Regelung des Farbauftrages bei einer Druckmaschine

Publications (3)

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EP0914945A2 true EP0914945A2 (fr) 1999-05-12
EP0914945A3 EP0914945A3 (fr) 1999-11-03
EP0914945B1 EP0914945B1 (fr) 2002-07-31

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EP98119006A Expired - Lifetime EP0914945B1 (fr) 1997-11-06 1998-10-08 Procédé pour régler l'encrage dans une machine d'impression

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US (1) US5957049A (fr)
EP (1) EP0914945B1 (fr)
JP (1) JPH11216848A (fr)
DE (2) DE19749066A1 (fr)

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GB2342319B (en) * 1998-10-02 2002-12-11 Quad Tech Markless color control in a printing press
WO2007048533A3 (fr) * 2005-10-25 2007-09-20 Ecole Polytech Variations de l'epaisseur de l'encre pour le controle d'imprimantes couleur
EP1862307A2 (fr) 2006-06-02 2007-12-05 Heidelberger Druckmaschinen Aktiengesellschaft Procédé destiné au calcul des valeurs de correction dans une commande couleur ou une régulation de couleur pour une presse d'impression

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DE19749063A1 (de) * 1997-11-06 1999-05-12 Heidelberger Druckmasch Ag Verfahren zur Gewinnung von Farbmeßwerten
DE10103555B4 (de) * 2001-01-26 2019-12-19 Volkswagen Ag Verfahren zur Beurteilung einer Farbschicht
CN1505564A (zh) * 2001-03-02 2004-06-16 ������������˹��˾Dba Mgi���� 印刷调节系统和方法
WO2003011604A2 (fr) 2001-07-30 2003-02-13 The Ackley Martinez Company Dba Mgi Studio Systeme et procede de compensation par adjuvant pour un systeme
JP2004536730A (ja) * 2001-07-30 2004-12-09 ジ アックレイ マルティネス カンパニー デイビーエイ エムジーアイ ステューディオ 色を管理・処理するシステムと方法
AU2002335081A1 (en) * 2001-10-04 2003-04-14 E.I. Du Pont De Nemours And Company Ink jet printing
US6938550B2 (en) * 2002-10-31 2005-09-06 R. R. Donnelley & Sons, Co. System and method for print screen tonal control and compensation
US7437000B1 (en) * 2003-03-14 2008-10-14 Eric Rosenthal Full spectrum color detecting pixel camera
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DE102004061469A1 (de) * 2004-12-18 2006-07-13 Man Roland Druckmaschinen Ag Verfahren zur Regelung der Farbgebung in einer Offsettdruckmaschine
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EP0527285A2 (fr) * 1991-08-12 1993-02-17 KOENIG & BAUER-ALBERT AKTIENGESELLSCHAFT Procédé pour juger la qualité de feuilles imprimées
EP0649743A1 (fr) * 1993-10-21 1995-04-26 MAN Roland Druckmaschinen AG Procédé pour contrôler l'apport de couleur dans une presse fonctionnant suivant le procédé de similigravure
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WO2007048533A3 (fr) * 2005-10-25 2007-09-20 Ecole Polytech Variations de l'epaisseur de l'encre pour le controle d'imprimantes couleur
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EP1862307A3 (fr) * 2006-06-02 2008-06-04 Heidelberger Druckmaschinen Aktiengesellschaft Procédé destiné au calcul des valeurs de correction dans une commande couleur ou une régulation de couleur pour une presse d'impression

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EP0914945B1 (fr) 2002-07-31
EP0914945A3 (fr) 1999-11-03
US5957049A (en) 1999-09-28
DE59804980D1 (de) 2002-09-05
JPH11216848A (ja) 1999-08-10
DE19749066A1 (de) 1999-05-12

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