JP4483496B2 - Spectral reflectance prediction apparatus and spectral reflectance prediction method - Google Patents

Description

  The present invention relates to a spectral reflectance prediction apparatus and a spectral reflectance prediction method for predicting a spectral reflectance of an observation light source of a paper containing a fluorescent brightening agent.

  When performing color matching between different image output devices, generally, each color of a color patch printed on a color chart is measured with a color measuring device, and the obtained colorimetric values are used to determine an ICC profile format (International Create device profiles for both image output devices according to the format specifications proposed by the Color Consortium). Then, using this device profile, that is, color matching between different image output apparatuses is performed based on the colorimetric values measured by the colorimetric apparatus. Note that color charts generally contain hundreds to thousands of color patches, but the colorimetric values of each color patch on the color chart can be measured with a very low load by using a simple device capable of automatic colorimetry. can do.

  In general, a color measurement device used for color measurement of a reflection object uses a filter that approximates a color matching function that is a spectral sensitivity corresponding to the human eye from reflected light from a measurement target to obtain a color measurement value such as CIEXYZ. Direct reading method of stimulus value directly obtained, sample by dividing the reflected light received by irradiating the sample to be measured with specific illumination light (hereinafter, measurement light) by the reflected light irradiated with the measurement light on the complete diffuser It can be classified into a spectral colorimetric method for obtaining the spectral reflectance. Since the color of the reflecting object is affected by the illumination light during observation (hereinafter referred to as observation light), strictly speaking, spectrophotometric measurement is performed rather than color matching using colorimetric values obtained directly by the stimulus value direct reading method. It is desirable to perform color matching using a colorimetric value in consideration of observation light from the spectral reflectance obtained by the color method.

However, fluorescent whitening agents are used in many printing papers and printer papers.
In general, a fluorescent brightening agent absorbs light in a wavelength region from a short wavelength region to an ultraviolet wavelength region in the visible light region, and emits light in a longer wavelength region. As a result, the amount of radiation in the visible region of the paper increases, and the brightness perceived by the observer increases. Furthermore, since blue is added to the color of the paper which originally has yellowishness, it becomes perceived as whiter. The intensity of the fluorescent color development depends on the energy intensity of the light that irradiates the paper in the absorption wavelength range where the optical brightener absorbs light. For example, in daylight when the energy amount from the short wavelength region to the ultraviolet wavelength region in the visible light region is high, the paper is observed brightly in blue, and under the tungsten light where the energy amount from the short wavelength region to the ultraviolet wavelength region in the visible light region is low. The paper is darker and yellower than the previous situation.

  The degree of influence of the fluorescent whitening agent on the measurement result of the spectral reflectance when the light containing the fluorescent whitening agent is irradiated is determined by the amount and characteristics of the fluorescent whitening agent contained in the paper and the light source used in the measurement. Varies depending on the spectral distribution. That is, it can be considered that the spectral reflectance of the paper containing the fluorescent brightener changes depending on the difference in the spectral distribution of the illuminating light source. For this reason, if the spectral distribution of colorimetric light when measuring a sample containing a fluorescent brightener, such as a color patch printed on a paper containing a fluorescent brightener, is different from the spectral distribution of the observation light when actually observing, colorimetry When the spectral reflectance of the sample obtained from the apparatus is used in the calculation to obtain the colorimetric value under the observation light, a suitable matching result can be obtained because the change of the spectral reflectance with respect to the spectral distribution of the light source is not taken into consideration. Can not.

  The above problem can be solved by measuring the sample using the spectral radiance meter under the observation light so that the spectral distributions of the colorimetric light and the observation light are equal. However, measuring hundreds to thousands of color patches required for color matching with a spectral radiance meter is very labor intensive. Even though it is not impossible to perform automatic color measurement with a spectral radiance meter, it is not practical because the device becomes very large. In the first place, it is not easy to create hundreds to thousands of color patches having a size that can be measured by a spectral radiance meter. Therefore, a method for obtaining the spectral reflectance and the colorimetric value of the sample containing the fluorescent brightener under the observation light by a simple method is required.

Several methods have been proposed for this problem.
For example, in the method described in Patent Document 1, a sample is measured with and without an ultraviolet cut filter, and the difference between the measured values is the excitation energy of the measurement light obtained from the excitation spectrum of the fluorescent brightener and the spectrum of the measurement light. The colorimetric value under the observation light is obtained by dividing by the excitation energy of the observation light. Also, when correcting the influence of fluorescent whitening agent on multiple color patches, weighting is based on the ratio of the colorimetric value of the correction target color to the colorimetric value of the reference color for the colorimetric value with the UV cut filter attached. Is calculated and corrected. This method requires a highly accurate ultraviolet cut filter. Further, when obtaining the excitation energy, measurement information on the shorter wavelength side than 380 nm is required, but since the human color matching function is 0 on the shorter wavelength side than 380 nm, a general colorimetric apparatus has a shorter wavelength side than 380 nm. Most things cannot be measured. Furthermore, since the excitation spectrum information of the optical brightener is required, equipment necessary for the measurement is also required. Since this special equipment is required, this method is not a simple method and is difficult to realize.

  Further, the method described in Patent Document 2 is a method obtained by correcting Patent Document 1, and enables correction of colorimetric values without a high-accuracy ultraviolet cut filter, but other problems described above have not been solved. .

  In the method described in Patent Document 3, a difference between colorimetric values measured with and without an ultraviolet cut filter is obtained for only a reference color such as paper white, and when correcting other samples, the reference color The difference is multiplied by a weighting factor and applied to the colorimetric values of other samples in the same manner as in Patent Document 1. At this time, the weighting coefficient is obtained from the reflectance on the short wavelength side of the sample corresponding to the vicinity of the emission wavelength region of the fluorescent brightener. Although this method reduces the load related to the correction of the fluorescent brightening agent for a plurality of color patches, it is difficult to realize this method because special equipment is required as in Patent Document 1.

The method described in Patent Document 4 corrects the fluorescent whitening agent in consideration of the ink adhesion amount per unit area, the overlap of the ink, and the ink permeability. This method requires measurement of a sample under observation light, and further requires a special device to obtain an accurate ink deposition amount, and is difficult to realize.
The above existing method is difficult to realize in that it requires special equipment in addition to a general colorimetric device, or requires measurement of a sample under observation light.
JP 10-176953 A JP 2001-174334 A Japanese Patent Laid-Open No. 2002-139381 JP 2002-202191 A

  Accordingly, the present invention has been made to solve the above-described problems, and it is possible to use only information in a wavelength region that can be measured by a general colorimetric device without requiring measurement of a sample under observation light. An object of the present invention is to provide a spectral reflectance predicting apparatus and a spectral reflectance predicting method capable of predicting a colorimetric value (spectral reflectance) of a sample containing a fluorescent brightening agent under observation light.

  The present invention has been made to solve the above-described problems, and is a spectral reflectance predicting apparatus that predicts the spectral reflectance of a sample containing a fluorescent brightening agent under an observation light source, and shows a first spectral distribution. Spectral reflectance measurement result that reads the first spectral reflectance of the sample under the first light source and the second spectral reflectance of the sample under the second light source showing a second spectral distribution different from the first spectral distribution. Reading means, the spectral reflectance of the white plate measured in advance and the spectral radiance of the white plate under the observation light source are read, and the spectral reflectance of the white plate and the spectral radiation of the white plate under the observation light source Third spectral distribution reading means for reading a third spectral distribution indicated by the observation light source, calculated based on the luminance, and a spectral distribution of the first light source in a predetermined light energy absorption wavelength region of the fluorescent brightener Based on the ratio between the total energy amount and the total energy amount of the spectral distribution of the first light source in a predetermined light energy emission wavelength region of the fluorescent brightener, the light from the first light source A first fluorescence influence degree calculating means for calculating a first fluorescence influence degree indicating a degree of influence on the light emission characteristics; and an energy amount of a spectral distribution of the second light source in a predetermined light energy absorption wavelength region of the fluorescent brightener. Based on the ratio of the sum of the total energy amount of the spectral distribution of the second light source in the predetermined light energy emission wavelength region of the fluorescent whitening agent, the light of the second light source has an emission characteristic of the fluorescent whitening agent. A second fluorescence influence degree calculating means for calculating a second fluorescence influence degree indicating an influence degree, a sum of energy amounts of spectral distribution of the observation light source in a predetermined light energy absorption wavelength region of the fluorescent brightener Based on the ratio of the total energy amount of the spectral distribution of the observation light source in the predetermined light energy emission wavelength region of the fluorescent whitening agent, the degree to which the light of the observation light source affects the emission characteristics of the fluorescent whitening agent. A third fluorescence influence degree calculating means for calculating a third fluorescence influence degree, a first spectral reflectance, a second spectral reflectance, the first fluorescence influence degree, and a second fluorescence influence degree, A spectral reflectance prediction device comprising: spectral reflectance calculation means for calculating a spectral reflectance of the sample under the observation light source based on the third fluorescence influence level.

  The present invention also provides a spectral reflectance prediction apparatus for predicting spectral reflectance under an observation light source of a sample containing a fluorescent brightening agent and applied with a plurality of different colors, wherein the first spectral distribution The first spectral reflectance of each color including an uncoated portion of the sample color under the first light source indicating the second spectral distribution of the sample under the second light source exhibiting a second spectral distribution different from the first spectral distribution Spectral reflectance measurement result reading means for reading the second spectral reflectance of any specific color among a plurality of different colors including a portion where no color is applied, and the spectral reflectance of the white plate measured in advance And the spectral radiance of the white plate under the observation light source, and calculated based on the spectral reflectance of the white plate and the spectral radiance of the white plate under the observation light source. 3 spectral distribution A third spectral distribution reading means to be inserted; a sum of energy amounts of spectral distributions of the first light source in a predetermined light energy absorption wavelength range of the fluorescent brightener; and a predetermined light energy emission wavelength range of the fluorescent brightener The first fluorescence influence degree indicating the degree of influence of the light of the first light source on the light emission characteristics of the fluorescent brightener is calculated based on the ratio of the total energy amount of the spectral distribution of the first light source in A fluorescence influence degree calculating means; a sum of energy amounts of spectral distributions of the second light source in a predetermined light energy absorption wavelength region of the fluorescent whitening agent; and a first light energy emission wavelength region of the fluorescent whitening agent in the predetermined light energy emission wavelength region. Based on the ratio of the sum of the energy amounts of the spectral distributions of the two light sources, the second fluorescent influence that calculates the second fluorescent influence that indicates the degree to which the light of the second light source affects the emission characteristics of the fluorescent brightener A calculating means; a sum of energy amounts of spectral distributions of the observation light source in a predetermined light energy absorption wavelength region of the fluorescent whitening agent; and spectral distributions of the observation light source in a predetermined light energy emission wavelength region of the fluorescent whitening agent A third fluorescence influence degree calculating means for calculating a third fluorescence influence degree indicating the degree of influence of the light of the observation light source on the light emission characteristics of the fluorescent brightener based on the ratio of the total amount of energy of the sample; and the sample A coating material influence degree function calculating means for calculating a function of a coating material influence degree indicating a relationship between the color information of each color applied to the light and the degree of influence of the color information on the light emission characteristics of the fluorescent whitening agent; 1 spectral reflectance, the second spectral reflectance, the first fluorescence influence degree, the second fluorescence influence degree, the third fluorescence influence degree, and the sample applied under the observation light source. The color information of the color Spectral reflectance calculation means comprising: spectral reflectance calculation means for calculating a spectral reflectance under the observation light source of the sample based on the influence degree of the coating obtained by substituting into the influence function. It is a prediction device.

  In the invention, the second spectral reflectance read by the spectral reflectance measurement result reading means is a portion where the sample color is not applied under a second light source showing a second spectral distribution different from the first spectral distribution. The second spectral reflectance.

  Further, the invention provides a spectral reflectance under a first light source of a portion where the color is applied in the sample, and a spectral reflectance under a first light source of a portion where the color is not applied in the sample. The ratio is expressed by the N (predetermined variable) power.

  Further, according to the present invention, the predetermined variable N has a minimum difference between the estimated spectral reflectance under the second light source obtained from the spectral reflectance under the first light source and the actual spectral reflectance under the second light source. It is the value which becomes.

  Further, the invention calculates a spectral reflectance under the observation light source of the color applied to the sample using a specific light energy emission wavelength or light energy emission wavelength range of the fluorescent whitening agent in the function of the influence of the applied object. It is characterized by doing.

  In the invention, it is preferable that the predetermined light energy absorption wavelength region is a wavelength region specified from a wavelength range in which the first spectral reflectance and the second spectral reflectance can be measured.

  In the invention, the first fluorescence influence degree calculating means, the second fluorescence influence degree calculating means, or the third fluorescence influence degree calculating means respectively sets a light energy absorption wavelength range and a light energy emission wavelength range of the fluorescent brightener. The first, second, and third fluorescence influence degrees are calculated as the same wavelength region.

  In the invention, the first fluorescence influence degree calculating means, the second fluorescence influence degree calculating means, or the third fluorescence influence degree calculating means is configured such that the light energy absorption wavelength region of the fluorescent brightener is 380 nm to 400 nm, The first, second, and third fluorescence influence degrees are calculated by setting the energy emission wavelength range to 430 nm to 450 nm.

  Further, the invention is characterized in that the sample is a color chart in which a plurality of colors are applied, and the spectral reflectance calculation means calculates the spectral reflectance under the observation light source of all the colors in the color chart. .

  The invention is also a spectral reflectance prediction method in a spectral reflectance prediction apparatus for predicting a spectral reflectance under an observation light source of a sample containing a fluorescent brightening agent, the spectral reflectance measurement result of the spectral reflectance prediction apparatus The reading means has a first spectral reflectance of the sample under the first light source showing the first spectral distribution and a second spectral of the sample under the second light source showing a second spectral distribution different from the first spectral distribution. And the third spectral distribution reading means of the spectral reflectance prediction apparatus reads the spectral reflectance of the white plate measured in advance and the spectral radiance of the white plate under the observation light source, The third spectral distribution indicated by the observation light source calculated based on the spectral reflectance of the white plate and the spectral radiance of the white plate under the observation light source is read, and the first fluorescent shadow of the spectral reflectance prediction apparatus is read. The degree calculation means includes a sum of energy amounts of spectral distributions of the first light source in a predetermined light energy absorption wavelength region of the fluorescent whitening agent and the first light source in a predetermined light energy emission wavelength region of the fluorescent whitening agent. Based on the ratio of the sum of the energy amounts of the spectral distributions, the first fluorescence influence degree indicating the degree to which the light of the first light source affects the light emission characteristics of the fluorescent brightener is calculated, and the spectral reflectance prediction apparatus The second fluorescence influence degree calculation means includes a sum of energy amounts of spectral distributions of the second light source in a predetermined light energy absorption wavelength region of the fluorescent whitening agent and a predetermined light energy emission wavelength region of the fluorescent whitening agent. And calculating a second fluorescence influence degree indicating a degree of influence of the light of the second light source on the light emission characteristics of the fluorescent brightener based on the ratio of the total energy amount of the spectral distribution of the second light source at Spectroscopic The third fluorescence influence degree calculation means of the emissivity prediction apparatus includes a sum of energy amounts of spectral distributions of the observation light source in a predetermined light energy absorption wavelength region of the fluorescent whitening agent and a predetermined light energy of the fluorescent whitening agent. Based on the ratio of the total energy amount of the spectral distribution of the observation light source in the emission wavelength range, a third fluorescence influence degree indicating the degree of influence of the light of the observation light source on the emission characteristics of the fluorescent brightener is calculated, Spectral reflectance calculation means of the spectral reflectance predicting apparatus includes the first spectral reflectance, the second spectral reflectance, the first fluorescence influence degree, the second fluorescence influence degree, and the third fluorescence. The spectral reflectance prediction method according to claim 1, wherein the spectral reflectance of the sample under the observation light source is calculated based on the degree of influence.

  The invention also relates to a spectral reflectance prediction method of a spectral reflectance prediction apparatus for predicting spectral reflectance under an observation light source of a sample containing a fluorescent brightening agent and applied with a plurality of different colors. The spectral reflectance measurement result reading means of the spectral reflectance prediction apparatus includes a first spectral reflectance of each color including a portion of the sample that is not coated with the color under the first light source exhibiting a first spectral distribution, A second spectral reflectance of a specific color among a plurality of different colors including an uncoated portion of the sample color under a second light source exhibiting a second spectral distribution different from the first spectral distribution; Reading, the third spectral distribution reading means of the spectral reflectance prediction device reads the spectral reflectance of the white plate measured in advance and the spectral radiance of the white plate under the observation light source, and the spectral of the white plate Reflectivity and previous The third spectral distribution indicated by the observation light source calculated based on the spectral radiance of the white plate under the observation light source is read, and the first fluorescence influence degree calculation means of the spectral reflectance predicting device reads the fluorescent whitening The sum of the energy amount of the spectral distribution of the first light source in the predetermined light energy absorption wavelength region of the agent and the sum of the energy amount of the spectral distribution of the first light source in the predetermined light energy emission wavelength region of the fluorescent brightener. Based on the ratio, the first fluorescence influence degree indicating the degree of influence of the light of the first light source on the light emission characteristics of the fluorescent whitening agent is calculated, and the second fluorescence influence degree calculation means of the spectral reflectance prediction apparatus is provided. The sum of the amount of energy of the spectral distribution of the second light source in the predetermined light energy absorption wavelength region of the fluorescent whitening agent and the amount of the second light source in the predetermined light energy emission wavelength region of the fluorescent whitening agent. Based on the ratio of the total energy amount of the distribution, a second fluorescence influence degree indicating the degree of influence of the light of the second light source on the light emission characteristics of the fluorescent brightener is calculated, and the second reflectance of the spectral reflectance prediction apparatus is calculated. (3) a fluorescence influence degree calculating means, wherein the total amount of energy of the spectral distribution of the observation light source in the predetermined light energy absorption wavelength region of the fluorescent brightener and the observation in the predetermined light energy emission wavelength region of the fluorescent brightener Based on the ratio of the total energy amount of the spectral distribution of the light source, a third fluorescence influence degree indicating the degree to which the light of the observation light source affects the light emission characteristics of the fluorescent brightener is calculated, and the spectral reflectance prediction apparatus The applied substance influence degree function calculating means calculates an applied substance influence degree function indicating the relationship between the color information of each color applied to the sample and the degree to which the color information affects the light emission characteristics of the fluorescent brightener. And the spectral reaction Spectral reflectance calculation means of the emissivity predicting device includes the first spectral reflectance, the second spectral reflectance, the first fluorescence influence degree, the second fluorescence influence degree, and the third fluorescence influence degree. And the applied material influence degree obtained by substituting the color information of the color applied to the sample to be predicted under the observation light source into the applied object influence function, under the observation light source of the sample. A spectral reflectance prediction method characterized by calculating a spectral reflectance.

  In the invention, the second spectral reflectance read by the spectral reflectance measurement result reading means is a portion where the sample color is not applied under a second light source showing a second spectral distribution different from the first spectral distribution. The second spectral reflectance.

  Further, the invention provides a spectral reflectance under a first light source of a portion where the color is applied in the sample, and a spectral reflectance under a first light source of a portion where the color is not applied in the sample. The ratio is expressed by the N (predetermined variable) power.

  Further, according to the present invention, the predetermined variable N has a minimum difference between the estimated spectral reflectance under the second light source obtained from the spectral reflectance under the first light source and the actual spectral reflectance under the second light source. It is the value which becomes.

  Further, the invention calculates a spectral reflectance under the observation light source of the color applied to the sample using a specific light energy emission wavelength or light energy emission wavelength range of the fluorescent whitening agent in the function of the influence of the applied object. It is characterized by doing.

  In the invention, it is preferable that the predetermined light energy absorption wavelength region is a wavelength region specified from a wavelength range in which the first spectral reflectance and the second spectral reflectance can be measured.

  In the invention, the first fluorescence influence degree calculating means, the second fluorescence influence degree calculating means, or the third fluorescence influence degree calculating means respectively sets a light energy absorption wavelength range and a light energy emission wavelength range of the fluorescent brightener. The first, second, and third fluorescence influence degrees are calculated as the same wavelength region.

  In the invention, the first fluorescence influence degree calculating means, the second fluorescence influence degree calculating means, or the third fluorescence influence degree calculating means is configured such that the light energy absorption wavelength region of the fluorescent brightener is 380 nm to 400 nm, The first, second, and third fluorescence influence degrees are calculated by setting the energy emission wavelength range to 430 nm to 450 nm.

  Further, the invention is characterized in that the sample is a color chart in which a plurality of colors are applied, and the spectral reflectance calculation means calculates the spectral reflectance under the observation light source of all the colors in the color chart. .

  As described above, according to the present invention, based on the first spectral reflectance, the second spectral reflectance, the first fluorescence influence degree, the second fluorescence influence degree, and the third fluorescence influence degree, The spectral reflectance of the sample under the observation light source can be calculated. Since the first fluorescence influence degree, the second fluorescence influence degree, and the third fluorescence influence degree are calculated by setting the absorption wavelength region and the emission wavelength region within the wavelength region range that can be measured by the spectral reflectance measuring device, Even if the spectral distribution in the ultraviolet wavelength region is not known, the spectral reflectance can be measured under the observation light source of the sample.

  Further, according to the present invention, a function of the applied substance influence degree indicating the relationship between the color information of the color applied to the sample and the degree of influence of the color information on the light emission characteristics of the fluorescent brightener is calculated, and the first spectroscopy is performed. The reflectance, the second spectral reflectance, the first fluorescent influence degree, the second fluorescent influence degree, the third fluorescent influence degree, and the color information of the color applied to the sample are substituted into the applied substance influence degree function. The spectral reflectance under the observation light source of the color applied to the sample is calculated on the basis of the influence of the applied product obtained in the above. Thereby, the spectral reflectance under the observation light source of the said sample which considered the influence of the color apply | coated on the sample to the light emission characteristic of the fluorescent whitening agent can be measured. In addition, the number of colors for which the second spectral reflectance is prepared can be reduced by introducing the applied substance influence degree function.

  Further, according to the present invention, it is possible to determine that the second spectral reflectance only needs to be the spectral reflectance of only the portion where the color is not applied, by introducing the application object influence function.

  Hereinafter, a spectral reflectance prediction apparatus according to an embodiment of the present invention will be described with reference to the drawings.

  FIG. 1 is a block diagram illustrating the configuration of the spectral reflectance prediction apparatus according to the first embodiment. In this figure, reference numeral 1 denotes a spectral reflectance prediction apparatus. In the spectral reflectance prediction apparatus 1, reference numeral 11 denotes an irradiation light spectral distribution calculation unit. Reference numeral 12 denotes an observation light spectral distribution calculator. Reference numeral 13 denotes a fluorescence influence calculation unit. Reference numeral 14 denotes a spectral reflectance calculator (spectral reflectance calculator). Reference numeral 2 is a spectral reflectance measuring device, and 3 is a spectral radiance meter.

  In the present embodiment, first, the spectral reflectance of the sample (paper manufactured using a fluorescent brightener) under a certain two measurement light sources is measured by the spectral reflectance measuring device 2, And the irradiation light spectral distribution calculation part (spectral reflectance measurement result reading means) 11 of the spectral reflectance prediction apparatus 1 is emitted from these light sources based on the two spectral reflectances measured by the spectral reflectance measurement apparatus 2. Each spectral distribution of light is calculated. In addition, based on the spectral radiance of the white plate measured by the spectral radiance meter 3 and the spectral reflectance capital at which the white plate reflects light, an environment light source (hereinafter referred to as an observation light source) The observation light spectral distribution calculation unit (third spectral distribution reading means) 12 calculates the spectral distribution of the “call”. Then, the fluorescence influence calculation unit (first fluorescence influence calculation means, second fluorescence influence calculation means, and third fluorescence influence calculation means) 13 performs the fluorescence influence degrees of the two measurement light sources and the fluorescence of the observation light source. Calculate the impact. Then, the spectral reflectance calculation unit 14 predicts the sample under the observation light source based on the respective fluorescence influence levels and the spectral reflectance of the sample under the two light sources measured by the spectral reflectance measurement device 2. The spectral reflectance of is calculated.

FIG. 2 is a diagram illustrating a processing flow of the spectral reflectance prediction apparatus according to the first embodiment.
Next, processing of the spectral reflectance prediction apparatus according to the present embodiment will be described with reference to the flow of FIG. Note that the measurable wavelength range λ of the spectral reflectance measuring apparatus 2 described in this embodiment is 380 nm to 730 nm.

  First, a user who wants to predict the spectral reflectance of a certain observation light source V of a paper (sample) containing a fluorescent brightening agent uses the spectral reflectance measuring device 2 to have two spectral distributions different from the observation light source V. Measures the spectral reflectance when the sample is irradiated with the light source, measurement light source A <spectral distribution = Pa (λ)> (first light source), measurement light source B <spectral distribution = Pb (λ)> (second light source) To do. The two measurement light sources A and B are, for example, a single light source o <spectral distribution = Po (λ)> and a filter A <light transmittance Ta (λ)> or B <light with different light transmittances. May be two light sources obtained by mounting the transmittance Tb (λ)>. The spectral reflectances of the measured samples of the measurement light sources A and B are defined as Ra (λ) and Rb (λ), respectively.

  In addition, the user uses the spectral radiance meter 3 to display a white plate having a high reflectance and a high light diffusivity with a spectral reflectance Rw (λ) under the observation light source V, which is a prediction environment, on the white plate. The radiance Cw (λ) is measured.

  Then, the user instructs the spectral reflectance prediction apparatus 1 to predict the spectral reflectance under the observation light source V of the sample. Then, for example, the spectral reflectance prediction apparatus 1 reads the spectral reflectances Ra (λ) and Rb (λ) of the sample under the measurement light sources A and B from the spectral reflectance measurement apparatus 2 and from the spectral radiance meter 3. The spectral radiance Cw (λ) under the observation light source V of the white plate is read, and the spectral distributions Pa (λ) and Pb (λ) of the measurement light sources A and B are read based on the user input (step S1a). . Note that when the user measures the spectral reflectances Ra (λ) and Rb (λ) of the sample using two lights obtained in an environment using one light source o and filters A and B, the light source The spectral distribution Po (λ) of o, the light transmittance Ta (λ) of the filter A, and the light transmittance Tb (λ) of the filter B are input to the spectral reflectance prediction apparatus 1 by the user. Then, the irradiation light spectral distribution calculation unit 11 of the spectral reflectance prediction apparatus 1 calculates the spectral distributions Pa (λ) and Pb (λ) using the equations (1) and (2). Further, the spectral reflectance Rw (λ) of the white plate is input to the spectral reflectance prediction apparatus 1.

  Next, the observation light spectral distribution calculation unit 12 uses the spectral reflectance Rw (λ) of the white plate and the spectral radiance Cw (λ) measured by the spectral radiance meter 3 to calculate the observation light according to the equation (3). Is calculated (step S2a).

  Next, the fluorescence influence degree calculation unit 13 of the spectral reflectance prediction apparatus 1 performs the fluorescence influence degree of the light from the measurement light source A (first fluorescence influence degree calculation means) Ea (λ) and the fluorescence of the light from the measurement light source B. The influence degree (second fluorescence influence degree calculating means) Eb (λ) and the fluorescence influence degree (third fluorescence influence degree calculating means) Ev (λ) of the light from the observation light source V are calculated (step S3a). Here, the fluorescence influence level is obtained by dividing the sum of the energy in the absorption wavelength region of the light irradiated to the paper containing the fluorescent brightener by the sum of the energy in the emission wavelength region for emitting the absorbed light. The higher the value, the stronger the energy emitted in the emission wavelength region of the fluorescent brightener. Usually, paper containing a fluorescent brightening agent has a characteristic (light emission characteristic) of absorbing energy in the ultraviolet wavelength region (absorption wavelength region) and emitting the energy in the visible region (emission wavelength region). Therefore, the fluorescence influence degree Ea (λ) of the light from the measurement light source A is expressed by the equation (4) when the spectral distribution Pa (λ) in the sample of the light from the measurement light source A is used. Similarly, the fluorescence influence level Eb (λ) in the sample of the light from the measurement light source B is expressed as shown in Equation (5). Here, in the present embodiment, the absorption wavelength range is set to 380 nm to 400 nm in consideration of the wavelength range of light that can be measured by the spectral reflectance measuring apparatus 2. The emission wavelength range is set to 430 nm to 450 nm. Thereby, since the fluorescence influence degree is not calculated using the wavelength in the ultraviolet wavelength region that the spectral reflectance measuring device 2 cannot measure, the measurement light source or the light source can be measured without measuring the spectral reflectance of the sample in the ultraviolet wavelength region of light. The influence degree of the light from the observation light source can be calculated.

  Further, the fluorescence influence degree Ev of the light from the observation light source V is expressed as in Expression (6) by the spectral distribution Pv (λ) of the observation light calculated by Expression 3.

  Next, the spectral reflectance calculation unit 14 calculates the spectral reflectance under the observation light source of the sample using Expression (7) (step S4a).

  Here, Expression (7) is a relational expression (8) for calculating the spectral reflectance Ra of the sample under the measurement light source A, and a relational expression (9) for calculating the spectral reflectance Rb of the sample under the measurement light source B. This is an expression obtained by substituting the expressions (11) and (12) obtained by the relational expression (10) for calculating the spectral reflectance Rv of the sample under the observation light source V into the expression (10).

The equation for calculating the spectral reflectance Ra of the sample under the measurement light source A shown by the equation (8) is the spectral reflectance Rp (λ) + the measurement light source under the measurement light source A of the paper not containing the fluorescent brightener. Spectral reflectance variation D (λ) × measurement light source A obtained by normalizing the difference between the sample (paper containing the fluorescent brightening agent) measured under A and measurement light source B by the fluorescence influence degree of the light from measurement light source A It means that it is the fluorescence influence degree of light.
As a result, the spectral reflectance prediction apparatus 1 has the spectral reflectance Ra (λ) in the sample of the measurement light source A and the spectral reflectance Rb (λ) in the sample of the measurement light source B, as shown in Expression (7). The observation light source of the sample using the fluorescence influence degree (Ea) of the light from the measurement light source A, the fluorescence influence degree (Eb) of the light from the measurement light source B, and the fluorescence influence degree (Ev) of the light from the observation light source V The spectral reflectance below can be predicted. The method for predicting the spectral reflectance of a paper (sample) containing a fluorescent brightener according to the present embodiment at a certain observation light source V can be used even when ink is applied to the sample paper. In addition, it is possible to predict the spectral reflectance of a certain observation light source V for a plurality of samples. However, it is necessary to measure all the samples to be predicted with both the measurement light source and the measurement light source B.

Next, Example 2 will be described.
FIG. 3 is a block diagram illustrating the configuration of the spectral reflectance prediction apparatus according to the second embodiment. In this figure, the description of the processing units having the same reference numerals as those in FIG. 1 is omitted. The spectral reflectance prediction apparatus 1 according to the second embodiment is obtained by adding the configuration of the coating material influence degree function calculating unit (first coating material influence degree function calculating unit) 15 to the spectral reflectance prediction apparatus 1 according to the first embodiment. is there. The applied substance influence function is a color output value (C, M, Y, K values, iC, iM, iY, iK) when a coated object such as ink is applied to paper containing a fluorescent brightening agent. And the degree of influence of the color output value on the fluorescent brightener. Then, the spectral reflectance prediction apparatus 1 predicts the spectral reflectance under the observation light of each color patch of a color chart in which a plurality of color patches (color patterns) are printed on paper containing a fluorescent brightener. To do. In this embodiment, the color chart includes CMYK = (0, 0, 0, 0), (255, 0, 0, 0), (128, 0, 0, 0), (0, 255, 0, 0), (0,128,0,0), (0,0,255,0), (0,0,128,0), (0,0,0,255), (0,0,0, 128) 9 color patches (specific color patches) are also included. In addition, the color chart includes a plurality of color patches of colors having other CMYK values. Of the nine color patches (specific color patches), eight patches other than CMYK = (0, 0, 0, 0) may have other CMYK values.

  First, a user who wants to predict the spectral reflectance of an observation light source V of each color patch printed on the color chart uses light of measurement light source A <spectral distribution = Pa (λ)>, which is different from the observation light source V. The chart is irradiated, and the spectral reflectance of all the color patches on the color chart is measured using the spectral reflectance measuring device 2. Further, the user irradiates the color chart with light of a measurement light source B <spectral distribution = Pb (λ)> different from the observation light source V, and spectral reflection of the nine color patches (specific color patches) on the color chart. The rate is measured using the spectral reflectance measuring device 2. Note that the two measurement light sources A and B are, for example, one light source o <spectral distribution = Po (λ)>, different light transmittance filters A <light transmittance Ta (λ )> Or B <light transmittance Tb (λ)>. The spectral reflectances of the measured samples of the measurement light sources A and B are defined as Ra (λ) and Rb (λ), respectively.

  In addition, the user uses the spectral radiance meter 3 to display a white plate having a high reflectance and a high light diffusivity with a spectral reflectance Rw (λ) under a light source (observation light source V) in a predicted environment. The spectral radiance Cw (λ) at the plate is measured. Then, the user instructs the spectral reflectance prediction apparatus 1 to predict the spectral reflectance under the observation light source V of the sample.

  Then, the spectral reflectance prediction apparatus 1 uses the sample colors measured under the measurement light sources A and B from the spectral reflectance measurement apparatus 2 (all color patch colors under the measurement light source A, and specific colors under the measurement light source B). The spectral reflectances Ra (λ) and Rb (λ) of the patch color) are read, and the spectral radiance Cw (λ) under the observation light source V of the white plate is read from the spectral radiance meter 3, and input by the user Based on the spectral distributions Pa (λ) and Pb (λ) of the measurement light sources A and B, the color output values of the colors of the color patches printed on the color chart (C, M, Y, K values, iC, iM, iY, iK) are read (step S1b).

  When the user measures the spectral reflectance of each color patch of the color chart using two lights obtained by an environment using one light source o and filters A and B, the spectral distribution of the light source o Po (λ), the light transmittance Ta (λ) of the filter A, and the light transmittance Tb (λ) of the filter B are input to the spectral reflectance prediction apparatus 1 by the user. Then, the irradiation light spectral distribution calculation unit 11 of the spectral reflectance prediction apparatus 1 calculates the spectral distributions Pa (λ) and Pb (λ) according to the expressions (1) and (2) of the first embodiment. Further, the spectral reflectance Rw (λ) of the white plate is input to the spectral reflectance prediction apparatus 1.

  Next, the observation light spectral distribution calculation unit 12 uses the spectral reflectance of the white plate and the spectral radiance Cw (λ) measured by the spectral radiance meter 3 to calculate the observation light according to the equation (3) of Example 1. Is calculated (step S2b).

  Next, the fluorescence influence degree calculation unit 13 of the spectral reflectance prediction apparatus 1 performs the fluorescence influence degree Ea (λ) of the light from the measurement light source A, the fluorescence influence degree Eb (λ) of the light from the measurement light source B, and The fluorescence influence degree Ev (λ) of the light from the observation light source V is calculated in the same manner as in Example 1 using the equations (4), (5), and (6) (step S3b).

  Next, for each color output value of C (cyan), M (magenta), Y (yellow), and K (black), the applied material influence function calculation unit 15 applies ink according to the color output value. A function of the applied material influence degree indicating the degree of influence on the optical brightener is calculated (step S4b). That is, when the amount of ink applied on the paper containing the fluorescent brightening agent increases, the unit area of the paper decreases, the absolute amount of light reaching the paper is absorbed by the ink, and the light reflected from the paper is further absorbed by the ink. As a result, the measured value of the spectral reflectance of the color due to the fluorescent brightener decreases in the emission wavelength region of the fluorescent brightener, and thus the coating is added to add this information to the expected spectral reflectance. Calculate the influence function.

Here, the applied substance influence degree function for C (cyan) will be described.
From the above equation (11), the spectral reflectance when the color patch <CMYK = (255, 0, 0, 0)> with the cyan color output value iC = 255 is measured under the measurement light source B, and The difference between the spectral reflectance when a color patch having a cyan color output value C = 255 is measured under the measurement light source A is expressed as the fluorescence influence degree of the light from the measurement light source B and the fluorescence influence degree of the light from the measurement light source A. The spectral reflectance fluctuation amount Dc ₂₅₅ (λ) normalized by the difference is expressed by Expression (13). Similarly, the spectral reflectance when the color patch <CMYK = (128, 0, 0, 0)> with the cyan color output value iC = 128 is measured under the measurement light source B, and the cyan color output. The difference in spectral reflectance when the color patch having the value iC = 128 was measured under the measurement light source A was normalized by the difference between the fluorescence influence degree of the light from the measurement light source B and the fluorescence influence degree of the light from the measurement light source A. The spectral reflectance fluctuation amount Dc ₁₂₈ (λ) is expressed by Expression (14). Similarly, the spectral reflectance when the paper <CMYK = (0, 0, 0, 0)> not coated with ink or the like is measured under the measurement light source A and the color such as ink are applied. Spectral reflectance obtained by normalizing the difference between the spectral reflectance when a non-printed paper is measured under the measurement light source B by the difference between the fluorescence influence degree of the light from the measurement light source B and the fluorescence influence degree of the light from the measurement light source A The fluctuation amount Dp (λ) is expressed by Expression (15).

Further, since the value obtained by multiplying the spectral reflectance fluctuation amount Dp (λ) by the variable becomes the spectral reflectance fluctuation amount Dc ₂₅₅ (λ) or the spectral reflectance fluctuation amount Dc ₁₂₈ (λ), the spectral reflectance fluctuation amount Dc. ₂₅₅ (λ) or the spectral reflectance fluctuation amount Dc ₁₂₈ (λ) can be obtained by linear conversion of the spectral reflectance fluctuation amount Dp (λ). And

The value of the variable of the applied material influence degree DRc ₂₅₅ (the applied object influence degree when the cyan color output value is C = 255) in the equation (16) in which the value of

The value of the variable of the applied material influence degree DRc ₁₂₈ (the applied material influence degree when the cyan color output value is C = 128) and the cyan color output value are C = A function obtained by, for example, spline interpolation of the three points where the applied material influence degree = 1 at 0 is the cyan applied material influence function Fe_c (iC). Note that the application effect function may be obtained by another interpolation method instead of the spline interpolation. Further, the degree of influence of the applied product is a value shown in the range of 0 ≦ the applied effect level ≦ 1.

  Similarly, the applied product influence function calculating unit 15 applies applied product influence functions Fe_m (im), Fe_y (ii) for each color output value of M (magenta), Y (yellow), and K (black), Fe_k (ik) is calculated. Then, the applied material influence function calculation unit 15 has an influence function Fe_cmyk obtained from the applied material influence values for all the color output values of C (cyan), M (magenta), Y (yellow), and K (black). (IC, iM, iY, iK) (first applied substance influence function) is calculated by the equation (18).

  FIG. 5 is a diagram illustrating the applied substance influence function Fe_c (ic).

  Next, the spectral reflectance calculation unit 14 calculates the spectral reflectance of each color patch of the color chart under the observation light source V using the equation (19) (step S5b). When calculating the spectral reflectance of each color patch under the observation light source V, the color output value of the color patch is input to the influence function Fe_cmyk (iC, iM, iY, iK) of Equation (19), and The spectral reflectance Ra (λ) of the patch under the measurement light source A, the spectral reflectance Rb (λ) [P] of the paper to which no color such as ink is applied under the measurement light source B, and under the measurement light source A Spectral reflectance Ra (λ) [P] of paper to which no color such as ink is applied, fluorescence influence degree Ea of light from the measurement light source A, fluorescence influence degree Eb of light from the measurement light source B, and observation light source V Is calculated by inputting the fluorescence influence degree Ev of the light into the equation (19).

Next, Example 3 will be described.
Similar to the second embodiment, the spectral reflectance prediction apparatus 1 according to the third embodiment uses a color chart in which a plurality of color patches (color patterns) are printed on paper containing a fluorescent brightening agent, under the observation light of each color patch. Predict spectral reflectance at. In addition, since the structure of the spectral reflectance prediction apparatus 1 in Example 3 is the same as that of the structure shown in FIG.

  First, the user who wants to predict the spectral reflectance in the observation light source V having each color patch printed on the color chart uses the light of the measurement light source A <spectral distribution = Pa (λ)>, which is different from the observation light source V, to the color chart. The spectral reflectance of all color patches on the color chart is measured using the spectral reflectance measuring device 2. Further, the user irradiates the color chart with light of a measurement light source B <spectral distribution = Pb (λ)> different from the observation light source V, and CMYK = (0,0,0,0) value on the color chart. The spectral reflectance of the color patch is measured using the spectral reflectance measuring device 2. Note that the two measurement light sources A and B are, for example, one light source o <spectral distribution = Po (λ)>, different light transmittance filters A <light transmittance Ta (λ )> Or B <light transmittance Tb (λ)>. The spectral reflectances of the measured samples of the measurement light sources a and b are defined as Ra (λ) and Rb (λ) [P], respectively.

  In addition, the user uses the spectral radiance meter 3 to display a white plate having a high reflectance and a high light diffusivity with a spectral reflectance Rw (λ) under a light source (observation light source V) in a predicted environment. The spectral radiance Cw (λ) at the plate is measured. Then, the user instructs the spectral reflectance prediction apparatus 1 to predict the spectral reflectance under the observation light source V of the sample.

  Then, the spectral reflectance prediction apparatus 1 uses the sample colors measured under the measurement light sources A and B from the spectral reflectance measurement apparatus 2 (colors of all color patches under the measurement light source A, and ink under the measurement light source B). Spectral reflectances Ra (λ) and Rb (λ) [P] of the color patches that are not applied) are read, and the spectral radiance Cw (λ) under the observation light source V of the white plate from the spectral radiance meter 3 Further, based on the input from the user, the spectral distributions Pa (λ) and Pb (λ) [P] of the measurement light sources A and B and the color output value of the color patch printed on the color chart are obtained. Read (step S1c).

  When the user measures the spectral reflectance of each color patch of the color chart using two lights obtained by an environment using one light source o and filters A and B, the spectral distribution of the light source o Po (λ), the light transmittance Ta (λ) of the filter A, and the light transmittance Tb (λ) of the filter B are input to the spectral reflectance prediction apparatus 1 by the user. Then, the irradiation light spectral distribution calculation unit 11 of the spectral reflectance predicting apparatus 1 calculates the spectral distributions Pa (λ) and Pb (λ) [P] according to the expressions (1) and (2) of the first embodiment. Further, the spectral reflectance Rw (λ) of the white plate is input to the spectral reflectance prediction apparatus 1.

  Next, the observation light spectral distribution calculation unit 12 uses the spectral reflectance of the white plate and the spectral radiance Cw (λ) measured by the spectral radiance meter 3 to calculate the observation light according to the equation (3) of Example 1. The spectral distribution Pv (λ) is calculated (step S2c).

  Next, the fluorescence influence degree calculation unit 13 of the spectral reflectance prediction apparatus 1 performs the fluorescence influence degree Ea (λ) of the light from the measurement light source A, the fluorescence influence degree Eb (λ) of the light from the measurement light source B, and The fluorescence influence level Ev (λ) of the light from the observation light source V is calculated in the same manner as in Example 1 using the equations (4), (5), and (6) (step S3c).

  Next, the applied product influence function calculation unit (second applied product influence function calculation means, third applied product influence function calculation means) 15 performs C (cyan), M (magenta), Y (yellow), K The applied substance influence function indicating the degree of influence of the ink (each color patch in the color chart) applied to the paper containing the fluorescent whitening agent based on the color output value of (black) on the paper. Is calculated (step S4c). Here, in the color patches in the color chart, the color patch having the greatest influence of the fluorescent brightening agent is the color patch having the smallest ink amount, that is, the paper white portion. A color patch having a larger amount of ink applied on the paper is less affected by the fluorescent brightening agent. That is, it can be considered that the patch having a smaller change from the spectral reflectance of the paper white portion has a larger influence of the fluorescent whitening agent, and a patch having a larger change has a smaller influence of the fluorescent whitening agent. From this, the influence function Fe_R (n, λ) of each patch is expressed by the spectral reflectance Ra of the patch under the measuring light A with respect to the spectral reflectance Ra (λ) [p] of the white paper portion under the measuring light A. The ratio of (λ) [n] can be obtained by equation (20).

  Then, the spectral reflectance calculation unit 14 calculates the spectral reflectance of each color patch of the color chart under the observation light source V using the equation (21) (step S5c).

  Note that when calculating the spectral reflectance of each color patch under the observation light source V, the applied substance influence function calculation unit 15 calculates the value of the influence function Fe_R (n, λ) calculated by the equation (20). In addition, the spectral reflectance Ra (λ) of the patch under the measurement light source A, the spectral reflectance Rb (λ) [P] of the paper not coated with ink or the like under the measurement light source B, and the measurement light source A Spectral reflectance Ra (λ) [P] of paper not coated with a color such as ink below, fluorescence influence Ea of light from measurement light source A, fluorescence influence Eb of light from measurement light source B, observation It is calculated by inputting the fluorescence influence degree Ev of the light of the light source V into Expression (21).

  Although the embodiment of the present invention has been described above, the measurable range of the spectral reflectance measuring device 2 is not the range of 380 nm to 400 nm described in the first embodiment, but the spectral reflectance can be measured over a wider range. May be. Thereby, for example, the absorption wavelength region in the calculation of the fluorescence influence degree may be appropriately set so as to be closer to the ultraviolet wavelength region, or the emission wavelength region of energy absorbed in the absorption wavelength region may be appropriately set.

  The spectral distribution of the observation light source may be obtained by other means instead of the above calculation formula. For example, the spectral distribution information obtained from the manufacturer that made the fluorescent lamp or the like may be used to reduce the observation light, or spectral information such as standard light or standard light source defined by the CIE may be used.

  In the second and third embodiments, the color output values are C (cyan), M (magenta), Y (yellow), and K (black), but other information for specifying other colors such as RGB. May be used. Accordingly, the present invention can be applied not only to a printer that outputs a color chart with CMYK color output values but also to a printer that outputs with RGB color signal values.

  The color chart may be, for example, an IT8.7 / 3 chart or other color chart.

  In the second embodiment, the applied substance influence function Fe_cmyk (iC, iM, iY, C) for the color output values iC, iM, iY, iK of C (cyan), M (magenta), Y (yellow), and K (black), respectively. iK) is obtained as a function composed of the product of the influence functions for the individual color output values, but the color output value and the fluorescence, such as an influence function for obtaining values directly from the color output values iC, iM, iY, iK, etc. Any function may be used as long as it represents the relationship of the degree of influence on the measured value of the brightener.

  Moreover, as another example corresponding to Example 3, for example, Fe_R (n, λ) shown in Expression (20)

  Can be considered (second applied substance influence function). N in this equation (22) is a value that varies depending on the paper and ink used, and CMYK = (0, 0, 0, 0) is measured under the measurement light B, and a plurality of colors in the color chart including the specific color patch. Using the spectral reflectance obtained by actually measuring the patch under the measurement light A, the application effect function is obtained by the method of Example 3, and the spectral reflectance under the measurement light source A of the specific color patch is measured under the measurement light source B. The spectral reflectance of the specific color patch is estimated and compared with the actual measurement value (spectral reflectance) of the specific color patch actually measured under the measurement light source B, and the value that minimizes the difference between the estimated value and the actual measurement value is N. Set. As a method for obtaining N, in addition to a method of minimizing the difference in spectral reflectance, a method of minimizing a color difference (any color difference formula such as CIELAB, CIE94, etc.) may be considered. Since the calculation method of N differs depending on the purpose of what is to be optimized, any method may be used depending on the purpose. Alternatively, N is set as a constant by using an N value of typical paper or ink or using an average value of N values of a plurality of paper or ink without using a plurality of specific patches under the measurement light B. You may do it.

  As another example corresponding to the third embodiment, for example, Fe_R (n, λ) shown in the equation (23) is considered that N is a function different for each wavelength,

Can also be considered (third applied substance influence function). N (λ) can be obtained in the same way as N in Equation 22.

  And the above-mentioned spectral reflectance prediction apparatus has a computer system inside. The process described above is stored in a computer-readable recording medium in the form of a program, and the above process is performed by the computer reading and executing this program. Here, the computer-readable recording medium means a magnetic disk, a magneto-optical disk, a CD-ROM, a DVD-ROM, a semiconductor memory, or the like. Alternatively, the computer program may be distributed to the computer via a communication line, and the computer that has received the distribution may execute the program.

  The program may be for realizing a part of the functions described above. Furthermore, what can implement | achieve the function mentioned above in combination with the program already recorded on the computer system, and what is called a difference file (difference program) may be sufficient.

It is a block diagram which shows the structure of the spectral reflectance prediction apparatus by Example 1. FIG. It is a figure which shows the processing flow of the spectral reflectance prediction apparatus by Example 1. FIG. It is a block diagram which shows the structure of the spectral reflectance prediction apparatus by Example 2. FIG. It is a figure which shows the processing flow of the spectral reflectance prediction apparatus by Example 2. FIG. It is a figure which shows the applied material influence degree function Fe_c (ic). It is a figure which shows the processing flow of the spectral reflectance prediction apparatus by Example 3. FIG.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 ... Spectral reflectance prediction apparatus 11 .... Irradiation light spectral distribution calculation part 12 .... Observation light spectral distribution calculation part 13 .... Fluorescence influence degree calculation part 14 .... Spectral reflectance calculation part 15 .. Calculation part 2 ... Spectral reflectance measuring device 3 ... Spectral radiance meter

Claims (20)

A spectral reflectance prediction apparatus for predicting spectral reflectance under an observation light source of a sample containing a fluorescent brightening agent,
A first spectral reflectance of the sample under a first light source exhibiting a first spectral distribution and a second spectral reflectance of the sample under a second light source exhibiting a second spectral distribution different from the first spectral distribution. Spectral reflectance measurement result reading means to read,
Read the spectral reflectance of the white plate measured in advance and the spectral radiance of the white plate under the observation light source, and based on the spectral reflectance of the white plate and the spectral radiance of the white plate under the observation light source A third spectral distribution reading means for reading the third spectral distribution indicated by the observation light source, calculated by
The total energy amount of the spectral distribution of the first light source in the predetermined light energy absorption wavelength region of the fluorescent whitening agent and the energy of the spectral distribution of the first light source in the predetermined light energy emission wavelength region of the fluorescent whitening agent First fluorescence influence degree calculating means for calculating a first fluorescence influence degree indicating a degree of influence of the light of the first light source on the light emission characteristics of the fluorescent brightener based on a ratio of the sum of the amounts;
The total energy amount of the spectral distribution of the second light source in the predetermined light energy absorption wavelength region of the fluorescent brightener and the energy of the spectral distribution of the second light source in the predetermined light energy emission wavelength region of the fluorescent brightener Second fluorescence influence degree calculating means for calculating a second fluorescence influence degree indicating the degree of influence of the light of the second light source on the light emission characteristics of the fluorescent brightener based on the ratio of the sum of the amounts;
The total energy amount of the spectral distribution of the observation light source in the predetermined light energy absorption wavelength region of the fluorescent brightener and the energy amount of the spectral distribution of the observation light source in the predetermined light energy emission wavelength region of the fluorescent brightener A third fluorescence influence degree calculating means for calculating a third fluorescence influence degree indicating the degree of influence of the light of the observation light source on the light emission characteristics of the fluorescent whitening agent based on the ratio of the sum;
Based on the first spectral reflectance, the second spectral reflectance, the first fluorescence influence degree, the second fluorescence influence degree, and the third fluorescence influence degree, under the observation light source of the sample Spectral reflectance calculating means for calculating the spectral reflectance in
A spectral reflectance prediction apparatus comprising: A spectral reflectance prediction apparatus for predicting spectral reflectance under an observation light source of a sample containing a fluorescent brightener and coated with a plurality of different colors,
Under a first light source showing a first spectral distribution, under a second light source showing a first spectral reflectance of each color including an uncoated portion of the sample color and a second spectral distribution different from the first spectral distribution Spectral reflectance measurement result reading means for reading the second spectral reflectance of any specific color among a plurality of different colors including a portion of the sample in which the color of the sample is not applied,
Read the spectral reflectance of the white plate measured in advance and the spectral radiance of the white plate under the observation light source, and based on the spectral reflectance of the white plate and the spectral radiance of the white plate under the observation light source A third spectral distribution reading means for reading the third spectral distribution indicated by the observation light source, calculated by
The total energy amount of the spectral distribution of the first light source in the predetermined light energy absorption wavelength region of the fluorescent whitening agent and the energy of the spectral distribution of the first light source in the predetermined light energy emission wavelength region of the fluorescent whitening agent First fluorescence influence degree calculating means for calculating a first fluorescence influence degree indicating a degree of influence of the light of the first light source on the light emission characteristics of the fluorescent brightener based on a ratio of the sum of the amounts;
The total energy amount of the spectral distribution of the second light source in the predetermined light energy absorption wavelength region of the fluorescent brightener and the energy of the spectral distribution of the second light source in the predetermined light energy emission wavelength region of the fluorescent brightener Second fluorescence influence degree calculating means for calculating a second fluorescence influence degree indicating the degree of influence of the light of the second light source on the light emission characteristics of the fluorescent brightener based on the ratio of the sum of the amounts;
The total energy amount of the spectral distribution of the observation light source in the predetermined light energy absorption wavelength region of the fluorescent brightener and the energy amount of the spectral distribution of the observation light source in the predetermined light energy emission wavelength region of the fluorescent brightener A third fluorescence influence degree calculating means for calculating a third fluorescence influence degree indicating the degree of influence of the light of the observation light source on the light emission characteristics of the fluorescent whitening agent based on the ratio of the sum;
A coating material influence degree function calculating means for calculating a function of a coating material influence degree indicating a relationship between the color information of each color applied to the sample and the degree that the color information affects the light emission characteristics of the fluorescent whitening agent;
The first spectral reflectance, the second spectral reflectance, the first fluorescence influence degree, the second fluorescence influence degree, the third fluorescence influence degree, and the sample to be predicted under the observation light source Spectral reflectance calculating means for calculating the spectral reflectance of the sample under the observation light source based on the applied material influence degree obtained by substituting the color information of the applied color into the applied object influence function; ,
A spectral reflectance prediction apparatus comprising:   The second spectral reflectance read by the spectral reflectance measurement result reading means is the second spectral portion of the uncolored portion of the sample under the second light source showing a second spectral distribution different from the first spectral distribution. The spectral reflectance prediction apparatus according to claim 2, wherein the spectral reflectance prediction apparatus is a reflectance.   In the sample, the ratio between the spectral reflectance under the first light source of the portion where the color is applied and the spectral reflectance under the first light source of the portion where the color is not applied in the sample. The spectral reflectance prediction apparatus according to claim 3, wherein the spectral reflectance prediction apparatus is represented by N (predetermined variable) power.   The predetermined variable N is a value that minimizes the difference between the estimated spectral reflectance under the second light source obtained from the spectral reflectance under the first light source and the actual spectral reflectance under the second light source. The spectral reflectance prediction apparatus according to claim 4, wherein the apparatus is a spectral reflectance prediction apparatus. Spectral reflectance under the observation light source of the color applied to the sample is calculated using a specific light energy emission wavelength or a light energy emission wavelength range of the fluorescent whitening agent as a function of the influence of the applied material. The spectral reflectance prediction apparatus according to any one of claims 2 to 5. Said predetermined optical energy absorption wavelength region, one of claims 1 to 6, characterized in that the wavelength region that is identified from the wavelength range capable of measuring the first spectral reflectance and the second spectral reflectance spectral reflectance predicting apparatus according to any. The first fluorescence influence degree calculating means, the second fluorescence influence degree calculating means, or the third fluorescence influence degree calculating means, respectively,
The first as a specific wavelength of light energy absorption wavelength region and the light energy emission wavelength range of the fluorescent whitening agent, the second, claims 1 to 7, characterized in that calculating a third fluorescent influence The spectral reflectance prediction apparatus in any one . The first fluorescence influence degree calculating means, the second fluorescence influence degree calculating means, or the third fluorescence influence degree calculating means, respectively,
The light intensity absorption wavelength region of the fluorescent brightening agent is set to 380 nm to 400 nm and the light energy emission wavelength region is set to 430 nm to 450 nm, and the first, second, and third fluorescence influence degrees are calculated. spectral reflectance predicting apparatus according to claim 8. The sample is a color chart coated with a plurality of colors,
The spectral reflectance prediction apparatus according to any one of claims 2 to 9 , wherein the spectral reflectance calculation means calculates the spectral reflectance under an observation light source of all colors of the color chart. A spectral reflectance prediction method in a spectral reflectance prediction apparatus for predicting spectral reflectance under an observation light source of a sample containing a fluorescent brightening agent,
The spectral reflectance measurement result reading means of the spectral reflectance prediction apparatus obtains a first spectral reflectance of the sample under a first light source showing a first spectral distribution and a second spectral distribution different from the first spectral distribution. Reading the second spectral reflectance of the sample under the second light source shown,
The third spectral distribution reading means of the spectral reflectance prediction device reads the spectral reflectance of the white plate measured in advance and the spectral radiance of the white plate under the observation light source, and the spectral reflectance of the white plate And the third spectral distribution represented by the observation light source, calculated based on the spectral radiance of the white plate under the observation light source,
The first fluorescence influence degree calculating means of the spectral reflectance predicting apparatus is configured such that a total energy amount of the spectral distribution of the first light source in a predetermined light energy absorption wavelength region of the fluorescent brightener and a predetermined value of the fluorescent brightener. The first fluorescence effect indicating the degree to which the light from the first light source affects the light emission characteristics of the fluorescent brightener based on the ratio of the total energy amount of the spectral distribution of the first light source in the light energy emission wavelength region Calculate the degree,
The second fluorescence influence degree calculating means of the spectral reflectance predicting device is configured to add a sum of energy amounts of spectral distributions of the second light source in a predetermined light energy absorption wavelength range of the fluorescent whitening agent and a predetermined value of the fluorescent whitening agent. The second fluorescent influence indicating the degree to which the light of the second light source affects the light emission characteristics of the fluorescent brightener based on the ratio of the total energy amount of the spectral distribution of the second light source in the light energy emission wavelength region Calculate the degree,
The third fluorescence influence degree calculating means of the spectral reflectance predicting device includes a sum of energy amounts of spectral distributions of the observation light source in a predetermined light energy absorption wavelength region of the fluorescent whitening agent and a predetermined amount of the fluorescent whitening agent. Based on the ratio of the total energy amount of the spectral distribution of the observation light source in the light energy emission wavelength region, a third fluorescence influence degree indicating the degree of influence of the light of the observation light source on the light emission characteristics of the fluorescent brightener is calculated. And
Spectral reflectance calculation means of the spectral reflectance predicting apparatus includes the first spectral reflectance, the second spectral reflectance, the first fluorescence influence degree, the second fluorescence influence degree, and the third fluorescence. The spectral reflectance prediction method of calculating the spectral reflectance of the sample under the observation light source based on the degree of influence. A spectral reflectance prediction method of a spectral reflectance prediction apparatus for predicting spectral reflectance under an observation light source of a sample containing a fluorescent whitening agent and applied with a plurality of different colors,
The spectral reflectance measurement result reading means of the spectral reflectance prediction apparatus includes a first spectral reflectance of each color including a portion of the sample that is not coated with a color under a first light source exhibiting a first spectral distribution, and the first A second spectral reflectance of a specific color is read out from a plurality of different colors including a portion of the sample that is not coated with a color under a second light source exhibiting a second spectral distribution different from the one spectral distribution;
The third spectral distribution reading means of the spectral reflectance prediction device reads the spectral reflectance of the white plate measured in advance and the spectral radiance of the white plate under the observation light source, and the spectral reflectance of the white plate And the third spectral distribution represented by the observation light source, calculated based on the spectral radiance of the white plate under the observation light source,
The first fluorescence influence degree calculating means of the spectral reflectance predicting apparatus is configured such that a total energy amount of the spectral distribution of the first light source in a predetermined light energy absorption wavelength region of the fluorescent brightener and a predetermined value of the fluorescent brightener. The first fluorescence effect indicating the degree to which the light from the first light source affects the light emission characteristics of the fluorescent brightener based on the ratio of the total energy amount of the spectral distribution of the first light source in the light energy emission wavelength region Calculate the degree,
The second fluorescence influence degree calculating means of the spectral reflectance predicting device is configured to add a sum of energy amounts of spectral distributions of the second light source in a predetermined light energy absorption wavelength range of the fluorescent whitening agent and a predetermined value of the fluorescent whitening agent. The second fluorescent influence indicating the degree to which the light of the second light source affects the light emission characteristics of the fluorescent brightener based on the ratio of the total energy amount of the spectral distribution of the second light source in the light energy emission wavelength region Calculate the degree,
The third fluorescence influence degree calculating means of the spectral reflectance predicting device includes a sum of energy amounts of spectral distributions of the observation light source in a predetermined light energy absorption wavelength region of the fluorescent whitening agent and a predetermined amount of the fluorescent whitening agent. Based on the ratio of the total energy amount of the spectral distribution of the observation light source in the light energy emission wavelength region, a third fluorescence influence degree indicating the degree of influence of the light of the observation light source on the light emission characteristics of the fluorescent brightener is calculated. And
The applied material influence function calculating means of the spectral reflectance predicting apparatus shows the relationship between the color information of each color applied to the sample and the degree to which the color information affects the light emission characteristics of the fluorescent brightener. Calculate the impact function,
Spectral reflectance calculation means of the spectral reflectance predicting apparatus includes the first spectral reflectance, the second spectral reflectance, the first fluorescence influence degree, the second fluorescence influence degree, and the third fluorescence. The observation light source of the sample based on the influence degree and the applied substance influence degree obtained by substituting the color information of the color applied to the sample predicted under the observation light source into the applied substance influence function Spectral reflectance prediction method characterized by calculating spectral reflectance below.   The second spectral reflectance read by the spectral reflectance measurement result reading means is the second spectral portion of the uncolored portion of the sample under the second light source showing a second spectral distribution different from the first spectral distribution. The spectral reflectance prediction method according to claim 12, wherein the spectral reflectance is a reflectance.   In the sample, the ratio between the spectral reflectance under the first light source of the portion where the color is applied and the spectral reflectance under the first light source of the portion where the color is not applied in the sample. The spectral reflectance prediction method according to claim 13, wherein the spectral reflectance prediction method is expressed by N (predetermined variable) power.   The predetermined variable N is a value that minimizes the difference between the estimated spectral reflectance under the second light source obtained from the spectral reflectance under the first light source and the actual spectral reflectance under the second light source. The spectral reflectance prediction apparatus according to claim 14, wherein the apparatus is a spectral reflectance prediction apparatus. Spectral reflectance under the observation light source of the color applied to the sample is calculated using a specific light energy emission wavelength or a light energy emission wavelength range of the fluorescent whitening agent as a function of the influence of the applied material. The spectral reflectance prediction method according to any one of claims 12 to 15. Said predetermined optical energy absorption wavelength region, any claim 11, characterized in that the wavelength region that is identified from the wavelength range capable of measuring the first spectral reflectance and the second spectral reflectance of claim 16 spectral reflectance prediction method according to any. The first fluorescence influence degree calculating means, the second fluorescence influence degree calculating means, or the third fluorescence influence degree calculating means, respectively,
The first as a specific wavelength of light energy absorption wavelength region and the light energy emission wavelength range of the fluorescent whitening agent, the second, claim 17 claim 11, characterized in that calculating a third fluorescent influence The spectral reflectance prediction method according to any one of the above. The first fluorescence influence degree calculating means, the second fluorescence influence degree calculating means, or the third fluorescence influence degree calculating means, respectively,
12. The first, second, and third fluorescent influences are calculated by setting a light energy absorption wavelength region of the fluorescent brightener to 380 nm to 400 nm and a light energy emission wavelength region of 430 nm to 450 nm. spectral reflectance prediction method according to claim 18. The sample is a color chart coated with a plurality of colors,
The spectral reflectance prediction method according to any one of claims 12 to 19 , wherein the spectral reflectance calculation unit calculates the spectral reflectance under an observation light source of all colors of the color chart.

Images