TW201818052A - Cloud optimization system for automatic color correction - Google Patents

Abstract

A cloud optimization system for automatic color correction is disclosed. The system includes a luminance meter, an automatic color-correction cloud platform and a display. The luminance meter is configured to acquire the spectral value of the plurality of test patches in which to meet CGATS(Committee for Graphic Arts Technologies Standards). The automatic color-correction cloud platform is configured to receive the spectral value of the plurality of test patches and convert the spectral value of the plurality of test patches to a plurality of density values, a plurality of color differential values and a plurality of tone value increase, and determine whether the plurality of test patches meet the inspection standard. The display is configured to shows the plurality of density values, the plurality of color differential values and the plurality of tone value increase for the user by using spectrophotometer of X-rite, Datacolor and Barbieri to correct the printing machine which prints the plurality of test patches.

Description

Automatic color correction cloud optimization system

The invention relates to an automatic color correction cloud optimization system, in particular to an automatic color correction cloud optimization system using nine color blocks for color correction.

According to the conventional printing machine, the color correction is performed before the sale, for example, the X-rite Ione spectrophotometer sold by the manufacturer X-rite and the X-rite free data measuring software ColorPort are used to obtain the spectral data of the printed pattern. And then judge whether it meets the international ISO 12647-2 standard. The international standard ISO 12647 is the standard for process control of color separation, proof and printed products for the mesh by the International Organization for Standardization, and ISO 12647-2 is the part for lithography, which describes how to monitor In the process of lithographic printing, processes such as color separation, proofing and printing, and setting standards for color measurement conditions, paper quality, paper tolerance, ink quality and post-overprint values, color separation film and zinc plate requirements, and four-color dot gain value . Therefore, there are many comparison items, and the calibration personnel cannot clearly know which project the printing machine that does not comply with the international ISO 12647-2 standard should be corrected. The calibration process is very complicated and inefficient.

Therefore, how to enable the corrector to understand the direction of correction of the printing press, so that the corrector can easily understand the meaning of the data, and can quickly make the corresponding processing to meet the standard requirements of ISO 12647-2.

In view of the above problems of the prior art, one of the objects of the present invention is to provide an automatic color correction cloud optimization system, which uses a spectrophotometer to print a single point measurement through a ColorPort one by one by printing a custom nine color block guide. Collect the data of each color block. It is better to use the self-made auxiliary guide plate to fix the nine color blocks to be detected. Then use the spectrophotometer to measure the data of the nine color blocks through the ColorPort and measure the collected data. CGATS (Committee for Graphic Arts Technologies Standards) format, preferably using any software or spectrophotometer that can be measured and saved in CGATS format, upload data in CGATS format to the automatic color correction cloud platform to analyze specific test colors The color difference of the block and the dot gain value, and display to the calibration personnel, so that the calibration personnel can clearly understand the correction direction of the printing machine, so that the calibration personnel can easily understand the meaning of the data, and can quickly make corresponding processing to achieve Standard requirements for international color inspection.

Therefore, in order to achieve the above object, the present invention provides an automatic color correction cloud optimization system, which comprises: any spectrophotometer capable of measuring a CGATS (Committee for Graphic Arts Technologies Standards) format (eg, x-rite, Datacolor and Barbieri's spectrophotometer) obtains the spectral values of a plurality of test patches; the automatic color correction cloud platform receives the spectral values of the plurality of test patches transmitted by the spectrophotometer, and converts the spectral values of the plurality of test patches. For a plurality of density values, a plurality of color difference values, and a plurality of dot gain values, determining whether the plurality of test patches meet the inspection standard by using a plurality of color difference values and a plurality of dot gain values; and displaying an automatic color correction The plurality of density values, the plurality of color difference values, and the plurality of dot gain values transmitted by the cloud platform are provided for the user to correct the printing machine that prints the plurality of test color blocks.

Preferably, the plurality of test patches may include a cyan full color block, a magenta full color block, a yellow full color block, a black full color block, a cyan color block having a concentration of 50%, and a magenta color concentration of 50%. Color block, 50% yellow color block, 50% black color block and three-color gray (C50, M40, Y40) color block.

Preferably, the automatic color correction cloud platform can obtain a plurality of density values and a plurality of color difference values by using spectral values of the cyan full color block, the magenta full color block, the yellow full color block, and the black full color block. .

Preferably, the automatic color correction cloud platform can predict the optimal concentration and the lowest color of the cyan full color block, the magenta full color block, the yellow full color block and the black full color block by Beer's law. Difference.

Preferably, the display further displays the optimal density and the lowest color difference.

Preferably, the automatic color correction cloud platform can obtain a plurality of spectral values of a 50% cyan color block, a 50% magenta color block, a 50% yellow color block, and a 50% black color block. The dot gain value.

Preferably, the three-color gray block can be used to adjust a plurality of dot gain values of 50% cyan color block, 50% magenta color block, and 50% yellow color block.

Preferably, the three-color gray block is formed by mixing a cyan color block having a concentration of 50%, a magenta color block having a concentration of 40%, and a yellow color block having a concentration of 40%.

Preferably, the color difference value of the inspection standard may be less than 5.

Preferably, the dot gain of the inspection standard may be less than four.

As stated above, it may have one or more of the following advantages in accordance with the present invention:

1. The invention analyzes and obtains the color difference value and the dot gain value which are easily understood by the calibration personnel by using the spectrophotometer and the automatic color calibration cloud platform, so as to solve the disadvantage that the conventional analysis data is too much and difficult to understand.

2. The invention allows the calibration personnel to clearly understand the correction direction of the printing machine and the optimum density and the lowest color difference by the display, and can quickly make corresponding processing to meet the standard requirements of international color inspection.

The advantages and features of the present invention, as well as the technical methods of the present invention, are described in more detail with reference to the exemplary embodiments and the accompanying drawings. The embodiments of the present invention are to be construed as being limited by the scope of the present invention, and the invention The scope of the patent application is defined.

One or more embodiments of the present invention disclose an automatic color correction cloud optimization system. The automatic color correction cloud optimization system disclosed in the following embodiments can analyze the color difference value and the dot gain value which are easily understood by the calibration personnel by using the spectrophotometer and the automatic color calibration cloud platform to solve the conventional analysis data. Excessive and incomprehensible shortcomings, the display can be used by the monitor to clarify the correcting direction of the printing press and the optimum density and the lowest color difference, and can quickly make corresponding processing to achieve international color inspection. Standard requirements.

FIG. 1 is a block diagram of an automatic color correction cloud optimization system according to an embodiment of the present invention. Please refer to Figure 1 and Figure 2. The automatic color correction cloud optimization system includes: spectrophotometer 1, automatic color correction cloud platform 2 and display 3. A spectrophotometer 1, such as an X-rite Ione spectrophotometer and an X-rite data measuring software ColorPort, for scanning to obtain spectral values of a plurality of test patches 4, wherein the plurality of test patches 4 are printed via the calibration to be corrected The machine prints, and the plurality of test color blocks 4 may include a cyan full color block, a magenta full color block, a yellow full color block, a black full color block, a cyan color block having a concentration of 50%, and a concentration of 50%. The product is a red color block, a 50% yellow color block, a black color block with a concentration of 50%, and a three-color gray block (a cyan color block with a concentration of 50%, a magenta color block with a concentration of 40%, and a yellow color with a concentration of 40%). The color blocks are mixed according to the German FOGRA Graphic Technology Research Association and the G7 International Color Inspection Standard. The automatic color correction cloud platform 2 is configured to receive the spectral values of the plurality of test color blocks 4 transmitted by the spectrophotometer 1, and bring the spectral values of the plurality of test color blocks 4 obtained by the ColorPort data measurement software into the PHP software. The conventional conversion formula is used to convert the spectral value into a plurality of concentration values, a plurality of color difference values, and a plurality of dot gain values (TVI), and the automatic color correction cloud platform 2 is expanded by a plurality of color difference values and a plurality of network dots. The value is used to determine whether the plurality of test patches meet the test criteria. For example, the color difference between the G7 and FOGRA test standards is less than 5 and the dot gain is less than 4. The display 3 is configured to display a plurality of density values, a plurality of color difference values, and a plurality of dot gain values (such as FIG. 3 and FIG. 4) transmitted by the automatic color correction cloud platform 2, so that the user prints the plural number The printing machine of the inspection color block 4 performs correction, for example, the display 3 shown in FIG. 3 exhibits a detection result 32 of a yellow full-color color block (code Y), and a relationship between the density value and the color difference value FIG. 31, wherein The measuring line corresponds to a measuring density of 1 and a color difference of 3.01, and the warning line allows the user to know whether the color difference of the yellow full-color color block is less than 5 to meet the inspection standard, and the display 3 shown in FIG. It presents a cyan color block (code C50) with a concentration of 50%, a magenta color block (code M50) with a concentration of 50%, a yellow color block with a concentration of 50% (code Y50), and a black color block with a concentration of 50% ( The detection result 42 of code K50) and the dot gain value (TVI) chart 41 of each color block, wherein the warning line allows the user to know whether the dot gain value (TVI) of each color block is less than 4 to meet the inspection standard.

FIG. 2 is a flow chart of an automatic color correction cloud optimization system according to an embodiment of the present invention. Referring to FIG. 2, first step S1: the printing machine to be corrected prints a plurality of inspection color blocks 4, and the plurality of inspection color blocks 4 may include a cyan full color block, a magenta full color block, and a yellow full color. Block, black full color block, 50% cyan color block, 50% magenta color block, 50% yellow color block, 50% black color block and three color gray block (by 50% concentration) The cyan block, 40% magenta color block and 40% yellow color block are mixed according to the German FOGRA Graphic Technology Research Association and G7 International Color Inspection Standard. Next, in step S2, a plurality of test patches 4 are scanned by the X-rite Ione spectrophotometer 1, and the spectral values are calculated by the X-rite data measurement software ColorPort. Step S3: The automatic color correction cloud platform 2 receives the spectral values of the plurality of test color blocks 4 transmitted by the spectrophotometer 1, and converts the spectral values of the plurality of test color blocks 4 into a plurality of density values, a plurality of color difference values, and The plurality of dot gain values are automatically determined by the plurality of color difference values and the plurality of dot gain values to determine whether the plurality of test patches meet the test criteria. Step S4: The display 3 displays a plurality of density values, a plurality of color difference values, a plurality of dot gain values, and whether the plurality of dot gain values are transmitted by the automatic color correction cloud platform 2, so that the user prints a plurality of test color blocks. The printing machine of 4 performs calibration. If the inspection standard is met, step S5 is performed: the printing machine calibration is finished. If the inspection standard is not met, the user corrects the printing machine, and after the calibration is completed, step S1 is performed again until the printing press prints out. A plurality of test patches 4 of the inspection standard.

In addition, in an embodiment of the present invention, the automatic color correction cloud platform 2 obtains a plurality of density values by spectral values of a cyan full color block, a magenta full color block, a yellow full color block, and a black full color block. And a plurality of color difference values, and the automatic color correction cloud platform 2 predicts the best of the cyan full color block, the magenta full color block, the yellow full color block and the black full color block by Beer's law. The difference between the concentration and the lowest color is as follows. First, obtain the spectral value of an ink (Ex. Cyan) (light passes through n cups of beer), and the spectral value can be converted to obtain a Lab value, whereby the Lab value can be obtained. The color difference value of the ink standard value (ISO 12647-2 Cyan: 55, -37, -50); the concentration value can also be calculated through the spectral value, and the different ink thicknesses of the ink are simulated by the Beer's Law method ( The spectral value of the concentration, the number of beer cups, and the Lab value and the concentration value are calculated. From the Lab value and the concentration value sequence obtained above, it can be quickly determined whether the ink can achieve the standard color difference value (color difference deltaE) <5), the concentration value at which the lowest chromatic aberration is achieved can also be predicted together. The Beer–Lambert law theory states that Pierre Bouguer and Johann Heinrich Lambert clarified the absorption of light and the thickness of the absorbing medium in 1729 and 1760, respectively. The relationship between them; in August 1852, August Beer also proposed a similar relationship between the degree of light absorption and the concentration of light-absorbing substances. The combination of the two gives the basic law of light absorption, Bouguer-Lambert -Bouguer–Lambert–Beer law, referred to as Beer–Lambert law, can also be called Beer's law. The display 3 can further display the optimal density and the lowest color difference value, as shown in FIG. 3, the display result 3 of the yellow full-color color block (code Y), and the relationship between the density value and the color difference value. In addition, the measurement density corresponding to the measurement line is 1 and the color difference is 3.01, and the warning line allows the user to know whether the color difference of the yellow full-color color block is less than 5 to meet the inspection standard, and includes Beer. The optimum line predicted by the characteristics of the –Lambert law theory corresponds to a predicted concentration of 1.05 and an optimum color difference of 1.5. Therefore, the data of the above results show that the user can know the data of the concentration and chromatic aberration.

In addition, in an embodiment of the present invention, the automatic color correction cloud platform 2 is composed of a cyan color block having a concentration of 50%, a magenta color block having a concentration of 50%, a yellow color block having a concentration of 50%, and a black color block having a concentration of 50%. The spectral value is used to obtain a plurality of dot gain values, and the data is listed by the data of the three-color gray block, and the density of the ink can be seen from the data, and the cyan block, magenta block, and yellow are displayed. The schematic diagram of the concentration of the color block is used to adjust the expansion value of the plurality of dot dots of the cyan color block of 50% concentration, the magenta color block of 50% concentration, and the yellow color block of the concentration of 50%, so that the dot gain value is more correct. The display 3 shown in Fig. 4 presents a cyan color block (code C50) with a concentration of 50%, a magenta color block (code M50) with a concentration of 50%, and a yellow color block (code Y50) with a concentration of 50%. And the detection result 42 of the black color block (code K50) with a concentration of 50%, and the dot gain value (TVI) chart 41 of each color block, wherein the warning line allows the user to know whether the dot gain value (TVI) of each color block is smaller than 4 In accordance with the inspection standard, it can be clearly seen from the chart that the 50% black color block (code K50) has a dot gain value (TVI) of 5.56 and a yellow color of 50% (code Y50). The network expansion was insufficient, which was negative 1.73. Therefore, the data of the above results shows that the user can provide information on the expanded value of the dot.

In summary, the present invention analyzes and obtains the color difference value and the dot gain value which are easily understood by the calibration personnel by using the spectrophotometer and the automatic color calibration cloud platform, so as to solve the disadvantage that the conventional analysis data is too much and difficult to understand. In addition, the present invention allows the calibration personnel to clearly understand the correction direction of the printing machine and the optimum density and the lowest color difference by the display, and can quickly perform corresponding processing to meet the standard requirements of international color inspection.

The embodiments described above are merely illustrative of the technical spirit and the features of the present invention, and the objects of the present invention can be understood by those skilled in the art, and the scope of the present invention cannot be limited thereto. That is, the equivalent variations or modifications made by the spirit of the present invention should still be included in the scope of the present invention.

1‧‧ ‧ Spectrophotometer

2‧‧‧Automatic color cloud platform

3‧‧‧ display

4‧‧‧Check color blocks

31‧‧‧Relationship between concentration value and color difference

32, 42‧‧‧ test results

41‧‧‧ outlet point expansion chart

S1~S5‧‧‧Steps

FIG. 1 is a block diagram of an automatic color correction cloud optimization system according to an embodiment of the present invention.

FIG. 2 is a flow chart of an automatic color correction cloud optimization system according to an embodiment of the present invention.

FIG. 3 is a schematic diagram showing the display of the display of the automatic color correction cloud optimization system according to an embodiment of the present invention.

FIG. 4 is another schematic diagram of a display of an automatic color correction cloud optimization system according to an embodiment of the present invention.

Claims (10)

An automatic color correction cloud optimization system comprising: a spectrophotometer for obtaining spectral values of a plurality of test patches for measuring X-rite Ione conforming to CGATS (Committee for Graphic Arts Technologies Standards) format , Datacolor or Barbieri spectrophotometer; an automatic color correction cloud platform, receiving the spectral values of the plurality of test patches transmitted by the spectrophotometer, and converting the spectral values of the plurality of test patches to a plurality of concentration values, a plurality of color difference values and a plurality of dot gain values, wherein the plurality of color difference values and the plurality of dot gain values determine whether the plurality of test color patches meet a test criterion; and a display indicates that the automatic calibration The plurality of density values, the plurality of color difference values, and the plurality of dot gain values transmitted by the cloud platform for correction by a user for printing the printer of the plurality of test patches. The automatic color correction cloud optimization system according to claim 1, wherein the plurality of test color blocks comprise a cyan full color block, a magenta full color block, a yellow full color block, and a black full version. Color block, a 50% cyan color block, a 50% magenta color block, a 50% yellow color block, a 50% black color block, and a three-color gray block. The automatic color correction cloud optimization system according to claim 2, wherein the automatic color correction cloud platform comprises the cyan full color block, the magenta full color block, the yellow full color block, and the black The spectral values of the full color patches obtain the plurality of density values and the plurality of color difference values. The automatic color correction cloud optimization system according to claim 3, wherein the automatic color correction cloud platform predicts the cyan full color block, the magenta full color block, and the yellow by Beer's law. The optimum color density of one of the full color patches and one of the black full color patches is a minimum color difference. The automatic color correction cloud optimization system of claim 4, wherein the display further displays the optimal density and the lowest color difference. The automatic color correction cloud optimization system according to claim 2, wherein the automatic color correction cloud platform comprises a cyan color block having a concentration of 50%, a magenta color block having a concentration of 50%, and a concentration of 50%. The spectral values of the yellow color patch and the black color patch having the concentration of 50% obtain the plurality of dot gain values. The automatic color correction cloud optimization system according to claim 6, wherein the three-color gray block is used to adjust the cyan color block having the concentration of 50%, the magenta color block having the concentration of 50%, and the concentration 50. The multiple dot gain values of the yellow color patches of %. The automatic color correction cloud optimization system according to claim 2, wherein the three-color gray block is a cyan color block having a concentration of 50%, a magenta color block having a concentration of 40%, and a yellow color block having a concentration of 40%. Mixed colors. The automatic color correction cloud optimization system according to claim 1, wherein one of the inspection standards has a color difference value of less than 5. For example, the automatic color correction cloud optimization system described in claim 1 is characterized in that one of the inspection standards has a dot gain value of less than 4.