JP2012061650A - Apparatus for generating noise data for removing unevenness of gloss, apparatus for removing unevenness of gloss, method for generating noise data for removing unevenness of gloss, method for removing unevenness of gloss, and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an apparatus for generating noise data for removing unevenness of gloss, a device for removing the unevenness of gloss and the like for removing the unevenness of the gloss of a medium having uneven pattern on the surface.SOLUTION: A control part 11 calculates the brightness value of each pixel in a predetermined evaluation condition about an input height field 2 to generate and output noise data corresponding to the brightness value of each pixel so as to reduce unevenness of the brightness as the entire medium surface. The noise is used for the adjustment of the brightness value, for example, by fixing the size and the depth of a noise object and using the density as a variable. A noise addition table 100 in which the relation between the brightness value and the noise density before and after the noise addition is previously defined and stored in a memory 12, a target pixel value such that the brightness value of total pixels after the noise addition in a range defined by the noise addition table 100 is made even is determined and the noise density to be added to each pixel is determined from the noise addition table 100 to generate the noise data 6.

Description

  The present invention relates to a gloss unevenness removing device and the like that reduce gloss unevenness generated in a medium having a concavo-convex pattern formed on a surface.

Conventionally, media such as wallpaper and synthetic leather having a concavo-convex pattern on the surface have been manufactured. When manufacturing this type of medium, first, surface depth data of a desired design (hereinafter referred to as height field) is generated using a computer or the like, and then an embossed plate made of metal or resin based on the height field. An uneven pattern was formed on the surface by engraving or etching, and the uneven pattern was copied by pressing the medium against the embossed plate.
Regarding the production of the embossed plate, there is a description in Patent Document 1, for example.

However, gloss unevenness tends to occur in the embossed product as described above.
Glossy unevenness is a phenomenon in which areas with high and low light intensity appear unevenly due to reflected light or shadows caused by light irradiated on the object surface, and the unevenness appears to be a new pattern. .
Of such gloss unevenness, those that are inconvenient as a design need to be deleted and corrected so that they do not appear in the product.

Japanese Patent Laid-Open No. 2004-358862

  However, conventionally, in order to check whether gloss unevenness has occurred on the surface of a medium, first, an embossed plate is prototyped, the position of the gloss unevenness is specified, and then the original height field is used using image processing software. The data was corrected and the embossed plate was manufactured again using the corrected height field data. The embossed plate is obtained through processes such as engraving and etching, and its production takes time. Further, the embossed plate in which uneven gloss has occurred is wasted because it is not used thereafter.

  SUMMARY OF THE INVENTION The present invention has been made in view of the above-described problems, and is a gloss data removing device for removing gloss unevenness, a gloss unevenness removing device, and a gloss unevenness removing noise for removing gloss unevenness of a medium having an uneven pattern on the surface. It is an object to provide a data generation method, a gloss unevenness removal method, and a program.

  In order to solve the above-mentioned problem, the first invention is a brightness value calculation means for calculating a brightness value of each pixel under a predetermined evaluation condition with respect to height field data for forming a concavo-convex pattern on the medium surface; Noise generating means for generating and outputting noise data corresponding to the luminance value of each pixel calculated by the luminance value calculating means so as to reduce the non-uniformity of the luminance value as a whole. This is a noise data generator for removing gloss unevenness.

According to the first invention, with respect to the height field data for forming a concavo-convex pattern on the medium surface, the luminance value calculation unit calculates the luminance value of each pixel under a predetermined evaluation condition, and the noise generation unit calculates the pixel value of each pixel. Generate and output noise data according to the luminance value. The noise data is generated so that the non-uniformity of the luminance value over the entire medium surface is reduced.
As a result, noise data for removing gloss unevenness (new pattern caused by non-uniform luminance value) generated on the surface of the medium on which the uneven pattern is formed can be generated from the original height field. If a concavo-convex pattern corresponding to the generated noise data is applied to the surface of the medium, non-uniformity of the luminance value of the entire medium surface can be reduced, which can contribute to the removal of gloss unevenness.

  In the first invention, the noise data includes any one of a density, a size, and a depth of a noise object as a variable, and a noise application that predefines a relationship between a luminance value before and after the noise application and the variable. Noise adding table storing means for storing a table, wherein the noise generating means is a maximum brightness value calculating means for obtaining a maximum brightness value among the brightness values of each pixel calculated by the brightness value calculating means; A target luminance value determining means for determining a luminance value range whose value can be reduced by adding noise from the noise adding table, and determining a target luminance value to be unified after adding noise within the luminance value range; and the luminance value of each pixel The noise data variable corresponding to the luminance value of each pixel is calculated from the noise addition table so that becomes the target luminance value after adding noise. The number calculation means, and noise object providing means for providing a noise object corresponding to variable calculated by the variable calculation unit in each pixel, it is desirable to have a.

That is, the noise generation means obtains the maximum luminance value among the luminance values of each pixel, and in the luminance value range defined in the noise addition table in which the relationship between the luminance value before and after the noise addition and the noise data variable is defined in advance, A target luminance value to be unified after adding noise is determined, and a variable corresponding to the luminance value of each pixel is calculated from the noise adding table so that the luminance value of each pixel becomes the target luminance value. A corresponding noise object is given to each pixel to generate noise data. The noise data can be adjusted using one of the density, size, and depth of the noise object as a variable.
As a result, it is possible to change the density, size, or depth of the noise object to give each pixel noise data corresponding to each luminance value. Further, since the luminance value of each pixel is unified to the target luminance value after applying noise, gloss unevenness is removed.

  In the first aspect of the invention, noise applying means for giving depth data corresponding to the noise data generated by the noise data generating means to each pixel of the input height field data, and noise by the noise applying means It is desirable to further include a post-noise added visualized image output unit that outputs a visualized image obtained by visualizing the height field after applying the noise on the evaluation condition with respect to the height field data to which the data is added.

  As a result, the generated noise data is added to each pixel of the input height field data, and a post-noise addition visualized image that is visualized under the evaluation condition can be generated and output. This makes it possible to check the gloss unevenness of the height field after applying noise before the embossed plate is manufactured, thereby reducing the number of prototypes of the embossed plate and reducing the cost.

  According to a second aspect of the present invention, brightness value calculation means for calculating the brightness value of each pixel under a predetermined evaluation condition for height field data for forming a concavo-convex pattern on the medium surface, and the brightness value of the entire medium surface are determined. Noise generating means for generating noise data for generating noise data corresponding to the luminance value of each pixel calculated by the luminance value calculating means so as to reduce uniformity, and embossing manufactured based on the height field data A gloss unevenness removing apparatus comprising: noise forming means for forming irregularities based on noise data generated by the noise generating means on a surface of a plate.

According to the second invention, for the height field data for forming the uneven pattern on the medium surface, the luminance value calculation means calculates the luminance value of each pixel under a predetermined evaluation condition, and the noise generation means calculates each pixel's luminance value. Noise data corresponding to the luminance value is generated. The noise data is generated so that the non-uniformity of the luminance value over the entire medium surface is reduced. Moreover, the unevenness | corrugation based on the said noise data is formed in the surface of the embossing plate manufactured based on the said height field data by a noise formation means.
As a result, gloss unevenness generated on the surface of the embossed plate manufactured based on the height field data can be removed by forming noise irregularities on the surface of the embossed plate. In addition, after manufacturing an embossed plate with unevenness based on height field, noise unevenness for removing gloss unevenness is formed, so fine noise can be formed on the surface of the embossed plate without loss, and gloss unevenness can be reliably removed .

  In the second aspect of the invention, the noise data has any one of a density, a size, and a depth of a noise object as a variable, and a noise application that predefines a relationship between a luminance value before and after the noise application and the variable. Noise adding table storing means for storing a table, wherein the noise generating means is a maximum brightness value calculating means for obtaining a maximum brightness value among the brightness values of each pixel calculated by the brightness value calculating means; A target luminance value determining means for determining a luminance value range whose value can be reduced by adding noise from the noise adding table, and determining a target luminance value to be unified after adding noise within the luminance value range; and the luminance value of each pixel The noise data variable corresponding to the luminance value of each pixel is calculated from the noise addition table so that becomes the target luminance value after adding noise. The number calculation means, and noise object providing means for providing a noise object corresponding to variable calculated by the variable calculation unit in each pixel, it is desirable to have a.

That is, the noise generation means obtains the maximum luminance value among the luminance values of each pixel, and in the luminance value range defined in the noise addition table in which the relationship between the luminance value before and after the noise addition and the noise data variable is defined in advance, A target luminance value to be unified after adding noise is determined, and a variable corresponding to the luminance value of each pixel is calculated from the noise adding table so that the luminance value of each pixel becomes the target luminance value. A corresponding noise object is given to each pixel to generate noise data. The noise data can be adjusted using one of the density, size, and depth of the noise object as a variable.
As a result, it is possible to change the density, size, or depth of the noise object to give each pixel noise data corresponding to each luminance value. Further, since the luminance value of each pixel is unified to the target luminance value after applying noise, gloss unevenness is removed.

  According to a third aspect of the present invention, there is provided a luminance value calculating step of calculating a luminance value of each pixel under a predetermined evaluation condition for height field data for forming a concavo-convex pattern on the medium surface; A noise data generation method for removing uneven glossiness, comprising: generating noise data that generates noise data according to a luminance value of each pixel so as to reduce uniformity, and a noise generation step of outputting the noise data. .

According to the third aspect, with respect to the height field data for forming the uneven pattern on the medium surface, the luminance value of each pixel under a predetermined evaluation condition is calculated, and noise data corresponding to the luminance value of each pixel is generated. ,Output. The noise data is generated so that the non-uniformity of the luminance value over the entire medium surface is reduced.
As a result, noise data for removing gloss unevenness caused by the non-uniformity of the luminance value on the surface of the medium on which the uneven pattern corresponding to the height field data is formed can be generated. By forming a concavo-convex pattern according to the generated noise data on the surface of the medium, non-uniformity of luminance values generated on the surface of the medium can be reduced and gloss unevenness can be removed. Since noise data for removing the gloss unevenness that occurs in the height field data can be generated in advance, it is not necessary to repeat the correction work and the confirmation work of the embossed plate in the medium manufacturing process, and the cost can be reduced.

  According to a fourth aspect of the present invention, there is provided a luminance value calculating step of calculating a luminance value of each pixel under a predetermined evaluation condition for height field data for forming a concavo-convex pattern on the surface of the medium; A noise generation step for generating noise data corresponding to the luminance value of each pixel so as to reduce uniformity, and the noise generated by the noise generation step on the surface of the embossed plate manufactured based on the height field data A method for removing gloss unevenness, comprising: a noise forming step for forming irregularities based on data.

According to the fourth invention, with respect to the height field data for forming the uneven pattern on the medium surface, the luminance value of each pixel under a predetermined evaluation condition is calculated, and noise data corresponding to the luminance value of each pixel is generated. . The noise data is generated so that the non-uniformity of the luminance value over the entire medium surface is reduced. Further, irregularities based on the noise data are formed on the surface of the embossed plate manufactured based on the height field data.
As a result, gloss unevenness generated on the surface of the embossed plate manufactured based on the height field data can be removed by forming noise irregularities on the surface of the embossed plate. Moreover, since the unevenness of the noise for removing the uneven gloss is formed after the embossed plate is manufactured, minute noise can be formed on the surface of the embossed plate, and the uneven gloss can be surely removed. Forming noise after the embossed plate is produced is particularly suitable when performing multistage etching according to the depth of the surface.

  A fifth aspect of the invention is a program written in a computer-readable format for calculating the luminance value of each pixel under predetermined evaluation conditions for height field data for forming an uneven pattern on the surface of a medium. A computer executes processing including a value calculation step, and a noise generation step of generating and outputting noise data corresponding to the luminance value of each pixel so as to reduce nonuniformity of the luminance value of the entire medium surface It is a program characterized by making it carry out.

  According to the program of the fifth invention, it is possible to cause a computer to function as the noise data generation device for removing gloss unevenness according to claim 1.

  According to the present invention, a gloss data removing device for removing gloss unevenness, a gloss unevenness removing device, a method for producing gloss unevenness noise data, a gloss unevenness removing method, and a program for removing gloss unevenness of a medium having an uneven pattern on a surface. Can be provided.

Hardware configuration diagram of noise data generator 1 for removing gloss unevenness Flowchart explaining the overall flow of noise data generation processing for uneven gloss removal Flow chart explaining the flow of the noise addition table creation process Example of height field 2 to be input The figure which shows an example of the setting of evaluation conditions (light source direction, viewpoint direction) The figure which shows an example of the visualization image 22 of the height field 2 before noise provision Illustration explaining shadows and occlusion The figure which shows an example of the normal vector of an attention pixel, Diagram showing examples of viewpoint vector, light source vector, normal vector, and regular reflection vector on the medium surface An example of the noise addition table 100 Flow chart explaining the flow of noise data generation processing Example of luminance value data 4 calculated for the input height field 2 The figure explaining the range 101 which can reduce a luminance value using the noise provision table 100 An example of noise variable (density) to be given to each pixel An example of generated noise data 6 An example of a height field 61 in which noise data 6 is added to the original height field 2 An example of a post-noise visualization image 63 in which a height field after the noise is visualized Example of setting suitable evaluation conditions when calculating luminance values The block diagram which shows schematic structure of the gloss nonuniformity removal apparatus 7 The figure which shows the structure of the gloss nonuniformity removal apparatus 7A in the case of forming noise in an embossed plate by the etching using a photomask. The figure which shows the structure of the gloss nonuniformity removal apparatus 7B in the case of forming noise in an embossed plate by laser processing. The figure which shows the structure of the gloss nonuniformity removal apparatus 7C in the case of forming noise in an embossed plate by engraving.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the drawings.
[First Embodiment]
FIG. 1 is a diagram showing a hardware configuration of a noise data generation apparatus 1 for removing gloss unevenness according to the present invention.

  As shown in FIG. 1, the gloss data removing noise data generating apparatus 1 is configured by a computer, for example, and includes a control unit 11, a storage unit 12, a media input / output unit 13, an input unit 14, a display unit 15, and communication control. Unit 16, peripheral device 1 / F unit 17, etc. are connected via a bus 18.

The control unit 11 includes a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM (Random Access Memory), and the like.
The CPU calls a program stored in the storage unit 12, ROM, recording medium or the like to a work memory area on the RAM and executes it, and drives and controls each unit connected via the bus 18. The CPU of the control unit 11 executes gloss data removal processing (see FIG. 2) to be described later.

  The ROM permanently holds a computer boot program, a program such as BIOS, data, and the like. The RAM temporarily holds the loaded program and data, and includes a work area used by the control unit 11 to perform various processes.

  The storage unit 12 is an HDD (hard disk drive), and stores a program executed by the control unit 11, data necessary for program execution, an OS (operating system), and the like. These program codes are read by the control unit 11 as necessary, transferred to the RAM, and read and executed by the CPU.

  The media input / output unit 13 (drive device) is a media input / output device such as a floppy (registered trademark) disk drive, PD drive, CD drive, DVD drive, or MO drive, and performs data input / output.

The input unit 14 is, for example, a keyboard, a pointing device such as a mouse, or an input device such as a numeric keypad, and outputs input data to the control unit 11.
The display unit 15 includes a display device such as a liquid crystal panel or a CRT monitor, and a logic circuit (such as a video adapter) for executing display processing in cooperation with the display device, and is input under the control of the control unit 11. Display information is displayed on a display device.

  The communication control unit 16 includes a communication control device, a communication port, and the like, is a communication interface that mediates communication with the network 19, and performs communication control.

  The peripheral device 1 / F unit 17 is a port for connecting a peripheral device to the computer, and the computer transmits / receives data to / from the peripheral device via the peripheral device 1 / F unit 17. The peripheral device 1 / F unit 17 is configured by USB, IEEE1394, RS-232C, or the like, and usually has a plurality of peripheral devices I / F. The connection form with the peripheral device may be wired or wireless.

  The bus 18 is a path that mediates transmission / reception of control signals, data signals, and the like between the devices.

Next, with reference to FIGS. 2-18, the operation | movement of the noise data generation apparatus 1 for gloss nonuniformity removal is demonstrated.
FIG. 2 is a flowchart showing the overall flow of the gloss unevenness removal noise data generation process performed by the gloss unevenness removal noise data generation apparatus 1.

  The control unit 11 of the gloss unevenness removal noise data generation apparatus 1 reads the program and data related to the gloss unevenness removal noise data generation process of FIG. 2 from the storage unit 12, and executes processing based on the program and data.

First, the control unit 11 of the noise data generation apparatus 1 for removing gloss unevenness creates the noise addition table 100 (step S1).
The noise addition table creation processing in step S1 will be described with reference to FIG.

As illustrated in FIG. 3, the control unit 11 of the noise data generation device 1 for removing gloss unevenness first visualizes the height fields of various designs and calculates the luminance value of each pixel (step S <b> 11).
The visualization process is a process for outputting the gloss unevenness of the height field as an image that can be visually recognized at the data stage. Hereinafter, the visualization process will be described.

  First, for example, it is assumed that height field data (hereinafter referred to as height field 2) for forming fabric-like irregularities on the surface as shown in FIG. 4 is input. For the height field 2, the control unit 11 sets the light source direction and the viewpoint direction as shown in FIG. 5, and obtains the luminance value of each pixel by the light emitted to the height field 2 from the light source. The obtained luminance value is projected onto a predetermined projection plane 3, and an image provided with a pixel value corresponding to the luminance value of each pixel on the projection plane 3 is output as a visualized image 22. For example, the projection plane 3 may be parallel to the height field 2 and the projection direction may be perpendicular to the projection plane 3. The light source direction and the viewpoint direction are preferably set, for example, in an evaluation condition (see FIG. 18) to be described later, but is not limited to this, and can be set in any direction.

  As shown in FIG. 6, the visualized image 22 is, for example, a gray level obtained by normalizing the calculated luminance value to a value corresponding to the number of gradations (for example, an integer in a predetermined range such as 0 to 255 or an integer of 0 or 1). It becomes a scale image or a hue image (not shown).

  In the visualization process of step S11, when calculating the luminance value, it is close to observing the product (medium) with human eyes if it is calculated in consideration of the shadow and occlusion occurring in the set height field. An accurate luminance value can be calculated.

FIG. 7 is a diagram for explaining shadows and occlusions.
Here, the shadow means an area where the light from the light source is not directly reflected, and the occlusion means an area that cannot be seen from the viewpoint. These areas are darker than other areas.
As shown in FIG. 7, when the light source and the viewpoint are set at a predetermined angle with respect to a medium (height field 2) having an uneven surface, shadows and occlusions may occur in a region deeper than an adjacent region. is there. For the shadow and occlusion areas, the luminance value is calculated to be 0 or smaller than other areas.

When calculating the luminance value, the control unit 11 calculates a tangent vector indicating the altitude difference between the pixel of interest and the neighboring four neighboring pixels. As shown in FIG. 8, the tangent vector with the right adjacent pixel is T _r , the tangent vector with the lower adjacent pixel is T _d , the tangent vector with the left adjacent pixel is T _l , and the upper adjacent pixel is The tangent vector is T _u , the height of the surface shape at the position (x, y) is z _{x, y} , the distance from the left and right adjacent pixels, that is, the height field width direction is Δx, and the upper and lower adjacent pixels are When the distance, that is, the vertical direction of the height field is Δy, each tangent vector is expressed by the following equations (1) to (4).

T _r = (Δx, 0, (z _{x + 1, y} −z _{x, y} )) (1)
T _d = (0, Δy, (z _{x, y + 1} −z _{x, y} )) (2)
T _l = (− Δx, 0, (z _{x−1, y} −z _{x, y} )) (3)
T _u = (0, −Δy, (z _{x, y−1} −z _{x, y} )) (4)

Next, the control unit 11 calculates a normal vector N _{i, j} that is the average of the normal vectors in the vicinity of the periphery 4 of the target pixel.
First, the control unit 11 calculates a normal vector represented by the following formula (5) to (8) 4 near the tangent vector _{T r, T d, T l} , the cross product of _{T u} of the pixel of interest.

_{N lu = T l × T u} ···· (5)
N _ur = T _u × T _r (6)
N _rd = T _r × T _d (7)
N _dl = T _d × T _l (8)

Then, the control unit 11, the normal vector _N lu _above, N _ur, calculates the average of the N _{rd, N dl,} the normal vector _{N i} of the target _pixel, and _j. The normal vector N _{i, j} of the pixel of interest is expressed by the following equation (9).

N _{i, j} = (N _lu + N _ur + N _rd + N _dl ) / 4 (9)

  Next, the control unit 11 calculates a light source vector L shown in FIG. 9 from the set light source direction. Assuming that the elevation angle of the light source is θ and the azimuth angle is ψ, the light source vector L is expressed by the following equation (10).

  L = (cos θ cos ψ, cos θ sin ψ, sin θ) (10)

  The control unit 11 calculates a regular reflection vector R of the light ray from the normal vector N and the light source vector L of the target pixel. The regular reflection vector R is expressed as the following equation (11).

  R = (2 × N) × (L · N) −L (11)

  Similarly to the light source vector L, the viewpoint vector W in the viewpoint direction is expressed by the above-described formula (10) from the set viewpoint direction.

  Next, the control unit 11 calculates the cosine of the angle formed by the viewpoint vector W and the regular reflection vector R. Here, an angle formed by the viewpoint vector W and the regular reflection vector R is α. The cosine cos α is calculated by the following equation (12).

  cos α = (W · R) / (| W | × | R |) (12)

  Next, the control unit 11 calculates the cosine of the angle formed by the normal vector N and the light source vector L. Here, the angle formed by the normal vector N and the light source vector L is β. The cosine cos β is calculated by the following equation (13).

  cos β = (L · N) / (| L | × | N |) (13)

  The luminance value of each pixel of the medium by the light emitted from the light source is obtained by adding the diffuse reflection and specular reflection components.

Luminance value I _d by diffusion reflected light, based on the Lambert's cosine law is expressed by the following equation (14).

I _d = I _i · k _d · cos β (14)

The luminance value I _s of specular reflected light, based on the reflection model of phone, it is expressed by the following equation (15).

I _s = I _i · k _s · cos ⁿ α (15)

Here, the intensity of incident light is I _i , the luminance value by diffuse reflected light is I _d , the luminance value by specular reflected light is I _s , the diffuse reflectance indicating the intensity of reflection is k _d , and the intensity of gloss is The specular reflectance is represented by k _s , and the coefficient representing the sharpness of gloss is represented by n.
The incident light intensity I _i , diffuse reflectance k _d , specular reflectance k _s , and coefficient n representing the sharpness of the gloss are constants, which may be fixed values or set by the user. These are determined by the material of the medium.

As described above, the control unit 11 calculates the luminance value I _o of each pixel of the medium by the light emitted from the light source by the following equation (16).

_{Io = I d + I s =} I i (k d cosβ + k s cos n α) ··· (16)

The luminance value of each pixel is calculated by the above calculation.
The control unit 11 stores the luminance value of each pixel in the height field 2 before noise addition in the luminance data memory before noise addition.

  As described above, luminance data before adding noise is obtained using various height fields as samples.

  Next, the control unit 11 assigns various types of noise in which the noise variable is changed to various types of height field samples, visualizes the height field after the noise addition, and obtains luminance value data after the noise addition (see FIG. 3 step S12).

Here, noise will be described.
In the present invention, in order to remove the uneven gloss of the height field 2, the luminance value of the entire height field is made uniform to a constant value. That is, noise corresponding to each luminance value is given to each pixel to adjust the luminance value.

The noise data is composed of a plurality of noise objects (for example, dots shown in FIG. 15), and this noise object has three parameters of size, depth, and density. When noise with varying these three parameters is applied to the medium surface, the brightness value of the medium surface can be adjusted according to the degree of noise.
However, since the input information is only one pre-noise luminance value data for each pixel, the three parameters cannot be determined by the input information. Therefore, any one of the three parameters is changed and the other two parameters are fixed.

  In this embodiment, as an example, the density of the noise object is changed, and the size and depth are fixed. That is, if noise having a high density of noise objects is applied to the height field 2, the luminance value can be greatly reduced, and if noise having a low density of noise objects is applied to the height field 2, the reduction range of the luminance value is reduced. .

  In step S12, the control unit 11 applies various noises with different densities to the height field 2 of various designs, and recalculates the luminance value data after applying the noises.

  And the control part 11 produces the noise provision table 100 from the relationship between the luminance value data before noise addition calculated at step S11, the density of the noise object provided at step S12, and the luminance value data after noise addition ( Step S13).

FIG. 10 is a graph showing an example of the noise addition table 100. The horizontal axis of the graph of FIG. 10 represents the luminance value after applying noise, and the vertical axis represents the luminance value before applying noise.
Moreover, the relationship between the luminance value data before noise addition, the luminance value data after noise addition, and the density of the noise object can be expressed by the following equation (17).

  Density = f (luminance value before applying noise, luminance value after applying noise) (17)

  According to the noise addition table 100 shown in FIG. 10, for example, if noise having a density of 5% is applied to a pixel indicating the luminance value a before adding noise, the luminance value after applying noise becomes b. If this noise addition table 100 is used, it is possible to determine the density of noise to be applied by giving the luminance value before applying noise and the luminance value after applying noise.

  The control unit 11 stores the created noise addition table 100 in the storage unit 12 (step S14), and ends the series of noise addition table creation processing.

  When the height field 2 to be processed is input (step S2 in FIG. 2) as shown in step S2 of FIG. 2 in a state where the noise addition table 100 is created and stored in the storage unit 12, control is performed. The unit 11 calculates the luminance value of each pixel of the input height field 2 (step S3). The calculation of the luminance value is the same as the luminance value calculation process in step S11 described above, and thus the description thereof is omitted.

  Next, the control part 11 produces | generates noise data based on the calculated brightness | luminance value and the noise provision table 100 memorize | stored in the memory | storage part 12 (step S4).

The noise data generation process in step S4 will be described in detail with reference to FIGS.
FIG. 11 is a flowchart for explaining the flow of noise data generation processing, FIG. 12 is an example of luminance value data 4 indicating the luminance value of each pixel before applying noise calculated in step S3, and FIG. FIG. 14 is a diagram showing an example of the density of noise to be given to each pixel.

  In the noise data generation process shown in FIG. 11, first, the control unit 11 obtains the maximum luminance value among the luminance values of each pixel in the height field 2 calculated in step S <b> 3 described above. For example, when the luminance value data 4 indicating the luminance values “2” to “5” as shown in FIG. 12 is obtained from the height field 2 in the luminance value calculation processing in step S3, the maximum luminance value of the height field 2 is “5”.

  Next, the control part 11 determines the target luminance value which should be unified after noise provision with reference to the noise provision table 100. FIG. The target luminance value is determined within a reducible luminance value range defined in the noise addition table 100. In the present embodiment, for example, the minimum luminance value at which the calculated maximum luminance value is reduced by applying noise is set as the target luminance value.

Specifically, as shown in FIG. 13, a range 101 in which the luminance value can be reduced is defined in the noise addition table 100. In the example of FIG. 13, since the maximum luminance value “5” can be reduced to the luminance value “2” by adding noise with a density of 15%, the minimum luminance value “2” is set as the target luminance value (step S42).
That is, if the brightness value of the height field 2 to be processed is made uniform so as to be the target brightness value “2” as a whole, the uneven gloss can be removed.

  The control unit 11 refers to the noise addition table 100 so that the luminance value of the height field 2 generally becomes the target luminance value obtained in step S42 in FIG. 11, and the noise variable corresponding to the luminance value of each pixel. (In this embodiment, the density of the noise object) is calculated (step S43).

  For example, as shown in the noise density distribution 5 in FIG. 14, if noise having a density of 15% is applied to a pixel (region 51 in FIG. 14) having a luminance value before noise addition of “5”, the noise is added. The luminance value of “2” is “2”, which is the same as the minimum luminance value. Further, if noise having a density of 10% is applied to a pixel (area 52 in FIG. 14) having a luminance value before noise addition of “4”, the luminance value after addition of noise is “2”, which is the same as the minimum luminance value. If the luminance value before applying noise is “3” (region 53 in FIG. 14) with a noise of 5% density, the luminance value after applying the noise is the same as the minimum luminance value. 2 ”and a pixel having a luminance value before noise addition of“ 2 ”(region 54 in FIG. 14) is given a noise of 0% density (that is, no noise addition), the luminance value after noise addition Becomes “2”, which is the same as the minimum luminance value.

  The control unit 11 gives a noise object (dots as shown in the enlarged view of FIG. 15) corresponding to the density (noise variable) calculated in step S43 to the corresponding pixels, and sets the noise data 6 (step S44).

  Since the noise density is given as a probability value, the control unit 11 generates a noise object in each pixel according to the probability. That is, for a pixel having a luminance value of “5” before applying noise, the noise density is determined to be 15% in the process of step S43, and therefore noise is generated with a probability of 15% for the corresponding pixel.

  FIG. 15 is a diagram visualizing the noise data 6 generated by the noise data generation process in step S4 of FIG. As shown in the enlarged view of FIG. 15, the noise data 6 is not given a uniform density but is given at a different density depending on a region (pixel).

  When the noise data generation process (steps S41 to S44) as described above ends, the control unit 11 outputs the generated noise data 6 (step S5 in FIG. 2).

  As an output mode, either a height field indicating the noise data 6 itself or a visualized image 63 after adding noise is used. The post-noise addition visualized image 63 is an image (FIG. 17) obtained by visualizing the height field 61 (see FIG. 16) to which the noise data 6 is added to the input height field 2.

When outputting the height field of the noise data 6, the control unit 11 sends to the embossed plate manufacturing means (FIG. 19; described in detail in the second embodiment) connected to the noise data generation device 1 for removing gloss unevenness. On the other hand, a height field representing the generated noise data 6 is output.
The embossed plate manufacturing means manufactures an embossed plate based on the original height field 2 and then forms irregularities on the surface of the embossed plate based on the noise data 6 generated by the noise data generating device 1 for removing uneven gloss. Engrave or etch. Details of the embossed plate manufacturing means will be described in the second embodiment.

When outputting the visualized image 63 after adding noise, the control unit 11 generates a post-noise-added height field 61 in which the noise data 6 is added to the original height field field 2, visualizes this, and visualizes the post-noise-added visualized image 61. 63 is generated (step S6) and displayed (output) on the display unit 15 (step S7). The noise data 6 is given in the depth direction of each corresponding pixel of the original height field 2.
A height field 61 in which noise data 6 is added to the height field 2 is shown in FIG. 16, and a visualized image 63 after noise is shown in FIG.
The visualization process at this stage is the same as the visualization process in the description of step S1 in FIG. 2, and the visualization process is performed under predetermined evaluation conditions.

  The visualized image 63 after adding noise is, for example, a 256-level grayscale image in which the luminance value is normalized to an integer from 0 to 255 and the numerical value is converted to a density value, or the luminance value is normalized to an integer from 0 to 255, for example. Then, the numerical value is converted into hue data composed of a combination of R, G, and B, and the hue image is output. The post-noise-applied visualized image 63 in FIG. 17 is an output example as a grayscale image.

Here, the evaluation conditions in the visualization process and the luminance value calculation process are additionally described.
Luminance value calculation processing (step S3), visualization processing (step S6), and luminance value calculation processing included in the noise addition table creation processing of FIG. 3 (step S11, step S12). ), A predetermined light source direction and viewpoint direction are set in order to calculate the luminance value of each pixel.
In addition, since gloss unevenness changes depending on the direction of the light source or the viewpoint, it is not desirable that the evaluation condition (the direction of the light source or the viewpoint) changes before and after applying noise. For this reason, the same conditions are used for the evaluation conditions (light source and viewpoint directions) set at each stage before and after applying noise.

  For example, in the gloss unevenness confirmation work performed by human eyes, the three patterns of light sources and viewpoint positions shown in FIG. 18 are conventionally used as evaluation conditions.

That is, the surface of the prototyped medium is confirmed using the viewpoints and light source positions of the three patterns shown in the following (a), (b), and (c) as evaluation conditions.
(A) A confirmer stands at a predetermined distance (about several meters) away from the wallpaper on which the design is applied, shines light from an oblique direction (γ ₁ = about 15 °), and the opposite direction (γ ₂ = 15) The person who confirms it visually observes the angle.
(B) The arrangement of the wallpaper is rotated 90 degrees, and the confirmer visually observes the same as (a) above.
(C) The position of the light source is the same as in (a), and the viewpoint is the direction that makes 90 degrees with the azimuth angle of the light source.

Therefore, it is desirable that the light source direction and the viewpoint direction set in the above-described luminance value calculation processing and visualization processing are also the three patterns shown in FIGS. 18 (a), (b), and (c).
However, setting the other light source directions and viewpoint directions in the example of FIG. 18 as the evaluation conditions is not hindered, and it is desirable to set appropriate light source directions and viewpoint directions as necessary.

As described above, the control unit 11 of the gloss unevenness removal noise data generation apparatus 1 according to the first embodiment calculates the luminance value of each pixel under the predetermined evaluation condition for the input height field 2. Noise data corresponding to the luminance value of each pixel is generated and output so as to reduce the nonuniformity of the luminance value on the entire medium surface.
For example, if the size and depth of a noise object are fixed and the density is a variable, the noise data can be made uniform in brightness value of the height field 2 by adjusting the density of noise to be applied at each pixel.

  At this time, a noise addition table 100 in which noise variables (for example, density) according to the luminance value before noise addition and the luminance value after noise addition are defined in advance is generated and stored in the storage unit 12, and the control unit 11 Obtains the maximum luminance value among the luminance values of each pixel of the height field 2, and sets the maximum luminance value within the range defined in the noise addition table 100 so that the luminance value becomes uniform as a whole after adding noise. Determine the pixel value. For example, the minimum luminance value range (minimum luminance value) that can be reduced after noise is applied to the maximum luminance value is set as the target luminance value. Then, the noise density corresponding to the luminance value of each pixel is obtained from the noise addition table 100 so that the luminance value of the height field 2 becomes the target luminance value as a whole. And the control part 11 gives a noise object to each pixel with the probability according to the calculated noise density, and produces | generates the noise data 6. FIG.

  Thereby, it is possible to generate noise data for removing the uneven gloss caused by the unevenness of the luminance value on the surface of the medium on which the uneven pattern is formed. If a concavo-convex pattern corresponding to the generated noise data is applied to the surface of the medium, the unevenness of the brightness value of the entire medium surface can be reduced, which can contribute to the removal of gloss unevenness.

  Further, the generated noise data 6 may be output as a height field and used in a subsequent embossed plate manufacturing process, or a noise added height field 61 in which the noise data 6 is added to each pixel of the input height field 2 is calculated. Then, it may be output as a post-noise-applied visualized image 63 visualized under a predetermined evaluation condition.

  If output as the visualized image 63 after adding noise, the result of applying noise in the height field can be visualized and confirmed before manufacturing the embossed plate, so that the number of prototypes of the embossed plate that requires a lot of time can be reduced, which can contribute to cost reduction.

In the above embodiment, the noise variable is the density of the noise object and the size and depth of the noise object are fixed. For example, the size and the depth of the noise object are the noise variable. The depth may be fixed, the depth of the noise object may be a noise variable, and the density and size may be fixed.
Further, the calculation example of the visualization process is an example, and a procedure other than the above-described procedure may be adopted.
Further, the relationship between the density of the noise applying table 100 and the luminance values before and after applying the noise is an example, and several appropriate noise applying tables are created and stored in the storage unit 12 according to the design of the height field, the material of the medium, and the like. In addition, any noise addition table may be selectively referred to when the noise data 6 is generated.

[Second Embodiment]
Next, the gloss unevenness removing device 7 according to the present invention will be described with reference to FIGS.
As shown in FIG. 19, the uneven gloss removal device 7 of the second embodiment includes a computer 71 (the uneven gloss removal noise data generation device 1 of the first embodiment) and an embossed plate manufacturing means 72. .
The embossed plate manufacturing means 72 applies a concavo-convex pattern to the surface of the embossed plate cylinder based on the input height field, and uses an etching technique as shown in the examples shown in FIGS. It is possible to use an engraving technique as in the example shown in FIG.

The hardware configuration of the computer 71 of the uneven gloss removal device 7 is the same as the configuration shown in FIG.
The computer 71 functions as the glossy unevenness removal noise data generation device 1 in the first embodiment described above, and also functions as a control device for the embossed plate manufacturing means 72 (pattern exposure device 73, engraving machine 77).

  For example, as one aspect of the uneven gloss removal apparatus 7, the uneven gloss removal apparatus 7A shown in FIG. In the gloss unevenness removing device 7A of FIG. 20, a pattern exposure device 73 is employed as the embossed plate manufacturing means 72 described above. The pattern exposure apparatus 73 is used in the photomask manufacturing stage, and manufactures a photomask 74 (74a, 74b,..., 74z) corresponding to the height field data 2 and the noise data 6. When the embossing plate cylinder 8 is etched using these photomasks 74, irregularities corresponding to height field data and noise data are formed.

  That is, as shown in FIG. 20A, the gloss unevenness removing device 7A includes a computer 71 (gloss unevenness removing noise data generating device 1) and a pattern exposure device 73. The pattern exposure apparatus 73 forms predetermined light shielding patterns according to the depth position of the height field 2 on the plurality of photomasks 74a, 74b,. In addition to these photomasks 74a, 74b,..., A photomask 74z in which a predetermined light shielding pattern according to the noise data 6 is formed is manufactured.

  The pattern exposure apparatus 73 includes a scanning unit 731, a laser oscillator 732, and an optical unit 733, drives the scanning unit 731 according to height field data 2 or noise data 6 input from the computer 71, and an optical unit that is a laser irradiation port. 733 is moved along the surface of the photomask 74, and the laser oscillator 732 is controlled to perform an exposure process for forming a light-shielding pattern (pattern composed of an exposed portion and a non-exposed portion) corresponding to each depth position.

  In the photomask 74, a light shielding film 742 is formed on a photomask substrate 743 at an initial stage, and a resist layer 741 is further coated thereon. A binary pattern corresponding to each depth position of the height field 2 is formed on the photomask 74 in such a state by exposure of the pattern exposure device 73, and an exposed portion and a non-exposed portion are formed on the resist layer 741. It is formed. After the exposure, the photomask 74 is developed and washed to remove an unnecessary resist layer, and further, a corrosive liquid is applied to the photomask 74 to carry out corrosion and washing to remove an unnecessary light shielding film. In this manner, a light shielding pattern for a predetermined depth position is formed on the photomask substrate 743.

  As many photomasks 74a, 74b, 74c,... Are formed as the number of necessary depth positions. A photomask 74z on which a light shielding pattern corresponding to the noise data 6 is formed is manufactured in the same procedure. These photomasks 74a to 74z are used when exposing the embossed cylinder 8 as shown in FIG.

  When the embossing plate cylinder 8 is exposed, as shown in FIG. 20 (B), the embossing plate cylinder 8 coated with the resist layer is first covered with a photomask 74a and exposed while being rotated by the rotation driving means 76. . As a result, an exposed portion and a non-exposed portion are formed on the embossed plate cylinder 8 according to the light shielding pattern formed on the photomask 74. Furthermore, unevenness is formed on the surface of the embossed plate cylinder 8 by performing development processing, corrosion processing, and cleaning processing. By replacing the photomask 74a with another photomask 74b and repeating the resist layer coating, exposure, development, corrosion, and washing, a plurality of concavo-convex portions are formed on the surface of the embossed plate cylinder 8 in order.

  In this way, after the concavo-convex pattern based on the height field 2 is formed on the embossed plate cylinder 8, finally, exposure, development, and corrosion are performed using the photomask 74z on which the light-shielding pattern based on the noise data 6 is formed. By performing the cleaning, a concavo-convex pattern of noise is formed on the surface of the embossing plate cylinder 8.

  When etching is repeatedly performed in multiple stages as described above, it is preferable to form irregularities of noise at the final stage because irregularities can be formed without loss even in a fine pattern.

Moreover, you may make it form an exposure pattern directly with respect to the embossing cylinder 8 which coat | covered the resist layer like the gloss nonuniformity removal apparatus 7B shown in FIG.
When this method is employed, the gloss unevenness removal device 7B includes a computer 71 (gloss unevenness removal noise data generation device 1), a pattern exposure device 73, a support base 75, and a rotation drive unit 76. An emboss plate cylinder 8 coated with a resist layer is attached to the support base 75.
The rotation drive unit 76 rotates the embossed plate cylinder 8 supported by the support bases 75 and 75 around the direction of the rotation axis AA in accordance with an instruction input from the computer 71.

The pattern exposure apparatus 73 drives the scanning unit 731 according to the height field data 2 input from the computer 71, and moves the optical unit 733, which is a laser irradiation port, in the direction of the rotation axis of the embossed cylinder 8 (direction AA in the figure). At the same time, the laser oscillator 732 is controlled and modulated to an output value according to the depth information. Thereby, a laser beam is irradiated to a predetermined position of the embossing plate cylinder 8 with a predetermined output, and an exposure process for forming a pattern including an exposed portion and a non-exposed portion is performed. After the exposure processing is completed, the embossed plate cylinder 8 is subjected to development and plate cleaning in a developing device (not shown) to remove an exposed portion (in the case of a positive resist) or a non-exposed portion (in the case of a negative resist) of the resist layer. The After that, when a corrosive liquid is applied to the embossing plate cylinder 8, the exposed metal surface is corroded due to corrosion, and a concavo-convex structure corresponding to the exposed pattern is formed. By repeating this resist layer coating, exposure processing, development processing, cleaning processing (removal of the non-resist portion), corrosion processing, and cleaning processing (removal of the resist portion) a plurality of times, the surface of the embossed plate cylinder 8 has a different depth. Unevenness is formed.
Then, after unevenness based on the height field is formed on the surface of the embossed plate cylinder 8, finally, exposure processing based on noise data is performed, development processing, cleaning processing (removal of non-resist portion), corrosion processing, cleaning processing ( If the resist portion is removed), noise (unevenness) for removing gloss unevenness is further formed on the surface of the embossed plate having unevenness.

  In addition, as a means of forming a resist with a laser beam, it is necessary to draw directly on the cylinder coated with the resist layer (burn out the resist layer) and to remove the non-resist portion by development processing or cleaning processing. Some laser plate machines do not.

Further, an engraving machine 77 may be used as the embossed plate manufacturing means 72.
FIG. 22 shows the configuration of the gloss unevenness removing device 7C.

As illustrated in FIG. 22, the gloss unevenness removing device 7 </ b> C includes a computer 71, an engraving machine 77, a support base 75, and a rotation driving unit 76. The embossing plate cylinder 9 is supported on the support base 75.
The engraving machine 77 includes an engraving machine control unit 771, a drive unit 772, and an engraving blade (cutting blade) 773. The engraving machine control unit 771 drives the engraving machine driving unit 772 according to the height field data 2 input from the computer 71, and the depth of the engraving blade 773 with respect to the plate surface of the embossing plate cylinder 9 supported by the support base 75. The embossing plate cylinder 9 is moved in the direction of the rotation axis (direction AA in the figure).
As a result, the engraving machine 77 engraves the metal or resin embossed plate cylinder 9 at a depth according to the height field 2 input from the computer 71 to form an uneven pattern on the surface.

  After that, the engraving machine 77 further engraves the embossed plate cylinder 9 on which the concavo-convex pattern is formed at a depth according to the noise data 6 input from the computer 71 to form a concavo-convex pattern of noise on the surface.

  The engraving machine 77 may be of a type using a laser or the like instead of the engraving blade 773.

  The engraving machine 77 performs engraving, for example, with a gray scale 0% portion in the gradation image as a convex and a gray scale 100% portion as a concave. The sculpture depth can be set arbitrarily. For example, when 500 μm is set, the 0% gray scale part is 0 μm deep, the 50% gray scale part is 250 μm deep, and the gray scale part is 100%. Is engraved at a depth of 500 μm.

  A technique for engraving an embossed cylinder from grayscale image data is described in detail in Japanese Patent Application Laid-Open No. 2008-246853 by the same applicant as the present application.

  If embossing is performed on a desired sheet using the embossing plate manufactured by the gloss unevenness removing devices 7A to 7C of the second embodiment, noise is further generated on the surface forming the uneven pattern of the predetermined design. It is possible to obtain a sheet having a formed surface shape. A sheet | seat consists of paper, resin, synthetic leather, a metal, etc., for example, is utilized as building materials, such as a wallpaper. Since the noise is generated so as to remove the gloss unevenness, an embossed plate or sheet having no gloss unevenness is produced.

  As described above, according to the gloss unevenness removal apparatus 7 of the second embodiment, the uneven pattern based on the height field 2 based on the noise data 6 generated by the same method as that of the first embodiment. Further unevenness can be formed on the surface of the embossed plate cylinders 8 and 9 on which is formed. Further, it is possible to emboss a desired sheet using the embossed cylinders 8 and 9. Thereby, it is possible to produce an embossed plate or sheet having no gloss unevenness as found in the production of conventional embossed plates and sheets. Therefore, it is possible to reduce the number of trials of embossed plates for checking gloss unevenness, and it is possible to manufacture a sheet efficiently.

  Further, according to the gloss unevenness removing device 7 of the second embodiment, after manufacturing the embossed plate having the unevenness based on the height field, the noise unevenness for removing the uneven gloss is formed. It can be formed on the surface of the embossed plate without loss, and gloss unevenness can be reliably removed. Forming noise after manufacturing the embossed plate is particularly suitable when performing multistage etching according to the depth of the surface.

  As described above, the preferred embodiments of the noise data generation device for gloss unevenness and the gloss unevenness removal device according to the present invention have been described with reference to the accompanying drawings, but the present invention is not limited to such examples. It will be apparent to those skilled in the art that various changes or modifications can be conceived within the scope of the technical idea disclosed in the present application, and these are naturally within the technical scope of the present invention. Understood.

1. Noise data generation device 11 for removing gloss unevenness 11 Control unit 12 Storage unit 2 Height field 3 Projection plane 22 ... Visualized image 100 before noise addition... Noise addition table 101... Range in which the luminance value can be reduced in the noise addition table 4... Luminance data before noise addition 5. ··· Data 6 indicating noise variable distribution for each pixel ··· Noise data 61 ··· Height field data 63 to which noise data is added ··· Visualized image 7 after noise addition · Uneven gloss removal device 7A ... Uneven gloss removal device 7B that produces a photomask for noise removal ... Uneven gloss removal device 7C that forms noise on the embossed plate by etching. ... E Uneven gloss removal device 71 that forms noise on the boss plate ... Computer 72 ... Emboss plate manufacturing means 73 ... Pattern exposure device 74 ... Photomask 77 ...・ Engraving machine 8: Embossed cylinder (resist layer coating)
9. Embossed cylinder

Claims (8)

For height field data for forming a concavo-convex pattern on the medium surface, a luminance value calculating means for calculating a luminance value of each pixel under a predetermined evaluation condition;
Noise generating means for generating and outputting noise data according to the luminance value of each pixel calculated by the luminance value calculating means so as to reduce non-uniformity of the luminance value as the entire medium surface;
A noise data generating apparatus for removing uneven glossiness. The noise data has any one of the density, size, and depth of a noise object as a variable,
Noise provision table storage means for storing a noise provision table that predefines the relationship between the luminance value before and after the noise provision and the variable;
The noise generating means includes
Maximum luminance value calculating means for obtaining a maximum luminance value among the luminance values of each pixel calculated by the luminance value calculating means;
A target luminance value determining means for determining a luminance value range in which the maximum luminance value can be reduced by applying noise from the noise adding table, and determining a target luminance value to be unified after applying noise within the luminance value range;
Variable calculation means for calculating a variable of the noise data corresponding to the luminance value of each pixel from the noise addition table so that the luminance value of each pixel becomes the target luminance value after applying noise;
A noise object giving means for giving each pixel a noise object corresponding to the variable calculated by the variable calculating means;
The noise data generating device for removing gloss unevenness according to claim 1. Noise applying means for applying depth data corresponding to the noise data generated by the noise data generating means to each pixel of the input height field data;
A post-noise visualization image output unit that outputs a visualized image obtained by visualizing the height field after the noise addition under the evaluation condition for the height field data to which noise data is added by the noise addition unit;
The noise data generation device for removing uneven glossiness according to claim 1, further comprising: For height field data for forming a concavo-convex pattern on the medium surface, a luminance value calculating means for calculating a luminance value of each pixel under a predetermined evaluation condition;
Noise generating means for generating noise data for generating noise data corresponding to the luminance value of each pixel calculated by the luminance value calculating means so as to reduce non-uniformity of the luminance value as the entire medium surface;
Noise forming means for forming irregularities based on the noise data generated by the noise generating means on the surface of the embossed plate manufactured based on the height field data;
A gloss unevenness removing device comprising: The noise data has one of the density, size, or depth of the noise object as a variable,
Noise provision table storage means for storing a noise provision table that predefines the variable according to the luminance value before noise provision and the luminance value after noise provision;
The noise generating means includes
The maximum luminance value among the luminance values of each pixel calculated by the luminance value calculating means is obtained, and the luminance value that minimizes the maximum luminance value after applying noise within the range defined in the noise adding table is determined. A minimum luminance value calculating means;
Variable calculation means for calculating a variable of the noise data corresponding to the luminance value of each pixel from the noise addition table so that the luminance value of each pixel becomes the minimum luminance value calculated by the minimum luminance value calculation means. When,
A noise object providing means for providing each pixel with a noise object corresponding to the variable calculated by the variable calculating means, and making it noise data;
The gloss unevenness removing apparatus according to claim 4, further comprising: A brightness value calculating step for calculating the brightness value of each pixel under a predetermined evaluation condition for height field data for forming a concavo-convex pattern on the medium surface;
A noise generation step of generating and outputting noise data according to the luminance value of each pixel so as to reduce non-uniformity of the luminance value of the entire medium surface;
A method for generating noise data for removing gloss unevenness, comprising: A brightness value calculating step for calculating the brightness value of each pixel under a predetermined evaluation condition for height field data for forming a concavo-convex pattern on the medium surface;
A noise generation step of generating noise data according to the luminance value of each pixel so as to reduce non-uniformity of the luminance value as the entire medium surface;
A noise forming step of forming irregularities based on the noise data generated by the noise generating step on the surface of the embossed plate manufactured based on the height field data;
A method for removing gloss unevenness, comprising: A program written in a computer-readable format,
A brightness value calculating step for calculating the brightness value of each pixel under a predetermined evaluation condition for height field data for forming a concavo-convex pattern on the medium surface;
A noise generation step of generating and outputting noise data according to the luminance value of each pixel so as to reduce non-uniformity of the luminance value of the entire medium surface;
A program for causing a computer to execute a process including: