Patent US5846852A successfully refreshed from Google Patents.
Patent US5864834A successfully refreshed from Google Patents.
US5864834A
Expired / Lapsed
US
⏱️ 0.0 years remaining
Method and apparatus for estimating a special reflectance distribution or a spectral transmittance distribution using illuminant-independent characteristic parameters
Assignee: Artience Co Ltd
•
Filing: 1995-03-23
•
Granted: 1999-01-26
•
Expires: 2015-03-23
Abstract
Abstract A neural network is made to undergo learning such that at least three characteristic parameters, which correspond to an inputted set of color information values when the set of color information values, including at least three color information values, is inputted and which are obtained by multivariate analysis of the spectral reflectance distribution or the spectral transmittance distribution, are outputted. A subject set of color information values is transformed into the characteristic parameters by using the neural network which has completed learning, and a spectral reflectance distribution or a spectral transmittance distribution is estimated by linear polynomial approximation using the transformed characteristic parameters, eigenvectors obtained by the multivariate analysis, and a mean vector of the spectral reflectance distribution or the spectral transmittance distribution.
Inventors
- 👤 Yoshihumi Arai
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-11-09 14:49
CPC Classifications
G; G06; G06N; G06N3/00; G06N3/02; G06N3/04; G06N3/0499; G06N3/08; G06N3/09
Claims Analysis
Total Claims: 23
Claim 1
Independent Claim
205 words
A method of estimating a spectral reflectance distribution or a spectral transmittance distribution of a color with a set of device values used for color reproduction with a color reproduction apparatus, including at least three device values used for color reproduction with a color reproduction apparatus, on the basis of the set of device values used for color reproduction with a color reproduction apparatus, comprising the steps of: causing a neural network to undergo learning such that at least three principal components, which correspond to the inputted set of device values used for color reproduction with a color reproduction apparatus when the set of device values used for color reproduction with a color reproduction apparatus is inputted and which are obtained by multivariate analysis of the spectral reflectance distribution or the spectral transmittance distribution, are outputted; transforming a subject set of device values used for color reproduction with a color reproduction apparatus into the principal components by using said neural network which has completed learning; and estimating a spectral reflectance distribution or a spectral transmittance distribution by linear polynomial approximation using the transformed characteristics parameters, eigenvectors obtained by the multivariate analysis, and a mean vector of the spectral reflectance distribution or the spectral transmittance distribution.
Claim 2
Independent Claim
205 words
A method of estimating a spectral reflectance distribution or a spectral transmittance distribution of a color with a set of device values used for color reproduction with a color reproduction apparatus, including at least three device values used for color reproduction with a color reproduction apparatus, on the basis of the set of device values used for color reproduction with a color reproduction apparatus, comprising the steps of: causing a neural network to undergo learning such that at least three principal components, which correspond to the inputted set of device values used for color reproduction with a color reproduction apparatus when the set of device values used for color reproduction with a color reproduction apparatus is inputted and which are obtained by multivariate analysis of the spectral reflectance distribution or the spectral transmittance distribution, are outputted; transforming a subject set of device values used for color reproduction with a color reproduction apparatus into the principal components by using said neural network which has completed learning; and estimating a spectral reflectance distribution or a spectral transmittance distribution by linear polynomial approximation using the transformed characteristics parameters, eigenvectors obtained by the multivariate analysis, and a mean vector of the spectral reflectance distribution or the spectral transmittance distribution.
Claim 3
Dependent Claim
262 words
A method of estimating a spectral reflectance distribution or a spectral transmittance distribution according to claim 1, wherein the learning step is effected by: measuring the spectral reflectance distribution of each a multiplicity of color chips corresponding to the at least three device values used for color reproduction with a color reproduction apparatus and each having a color whose density differs for each of the device values used for color reproduction with a color reproduction apparatus; determining an eigenvector by performing principal-component analysis by using a covariance matrix of values in each of which the mean vector of the spectral reflectance distribution is subtracted from the spectral reflectance distribution; determining the at least three principal components corresponding to each of sets of device values used for color reproduction with a color reproduction apparatus, including at least three device values used for color reproduction with a color reproduction apparatus, by using the determined eigenvector and the values in each of which the mean vector of the spectral reflectance distribution is subtracted from the spectral reflectance distribution; and causing said neural network to undergo learning by using the sets of device values used for color reproduction with a color reproduction apparatus and the principal components such that the at least three characteristics parameters corresponding to the set of device values used for color reproduction with a color reproduction apparatus are outputted when the set of device values used for color reproduction with a color reproduction apparatus including the at least three device values used for color reproduction with a color reproduction apparatus is inputted.
Claim 4
Dependent Claim
58 words
A method of estimating a spectral reflectance distribution or a spectral transmittance distribution according to claim 1, wherein the set of device values used for color reproduction with a color reproduction apparatus is RGB values which are three primary colors of additive color mixture, CMY values which are three primary colors of subtractive primary colors, or CMYK values.
Claim 5
Dependent Claim
32 words
A method of estimating a spectral reflectance distribution or a spectral transmittance distribution according to claim 1, wherein said neural network is a multilayered feedforward neural network comprising three to five layers.
Claim 6
Dependent Claim
38 words
A method of estimating a spectral reflectance distribution or a spectral transmittance distribution according to claim 1, wherein KL expansion is used as the linear polynomial approximation, and coefficients of KL expansion are used as the principal components.
Claim 7
Independent Claim
174 words
An apparatus for estimating a spectral reflectance distribution or a spectral transmittance distribution of a color with a set of device values used for color reproduction with a color reproduction apparatus, including at least three device values used for color reproduction with a color reproduction apparatus, on the basis of the set of device values used for color reproduction with a color reproduction apparatus, comprising: a neural network for learning such that at least three principal components, which correspond to the inputted set of device values used for color reproduction with a color reproduction apparatus when the set of device values used for color reproduction with a color reproduction apparatus is inputted and which are obtained by multivariate analysis of the spectral reflectance distribution or the spectral transmittance distribution, are outputted; and estimating means for estimating a spectral reflectance distribution or a spectral transmittance distribution by linear polynomial approximation using the transformed characteristics parameters, eigenvectors obtained by the multivariate analysis, and a mean vector of the spectral reflectance distribution or the spectral transmittance distribution.
Claim 8
Independent Claim
174 words
An apparatus for estimating a spectral reflectance distribution or a spectral transmittance distribution of a color with a set of device values used for color reproduction with a color reproduction apparatus, including at least three device values used for color reproduction with a color reproduction apparatus, on the basis of the set of device values used for color reproduction with a color reproduction apparatus, comprising: a neural network for learning such that at least three principal components, which correspond to the inputted set of device values used for color reproduction with a color reproduction apparatus when the set of device values used for color reproduction with a color reproduction apparatus is inputted and which are obtained by multivariate analysis of the spectral reflectance distribution or the spectral transmittance distribution, are outputted; and estimating means for estimating a spectral reflectance distribution or a spectral transmittance distribution by linear polynomial approximation using the transformed characteristics parameters, eigenvectors obtained by the multivariate analysis, and a mean vector of the spectral reflectance distribution or the spectral transmittance distribution.
Claim 9
Dependent Claim
254 words
An apparatus for estimating a spectral reflectance distribution or a spectral transmittance distribution according to claim 6, wherein said neural network measures the spectral reflectance distribution of each a multiplicity of color chips corresponding to the at least three device values used for color reproduction with a color reproduction apparatus and each having a color whose density differs for each of the device values used for color reproduction with a color reproduction apparatus; determines an eigenvector by performing principal-component analysis by using a covariance matrix of values in each of which the mean vector of the spectral reflectance distribution is subtracted from the spectral reflectance distribution; determines the at least three principal components corresponding to each of sets of device values used for color reproduction with a color reproduction apparatus, including at least three device values used for color reproduction with a color reproduction apparatus, by using the determined eigenvector and the values in each of which the mean vector of the spectral reflectance distribution is subtracted from the spectral reflectance distribution; and undergoes learning by using the sets of device values used for color reproduction with a color reproduction apparatus and the principal components such that the at least three characteristics parameters corresponding to the set of device values used for color reproduction with a color reproduction apparatus are outputted when the set of device values used for color reproduction with a color reproduction apparatus, including the at least three device values used for color reproduction with a color reproduction apparatus, is inputted.
Claim 10
Dependent Claim
58 words
An apparatus for estimating a spectral reflectance distribution or a spectral transmittance distribution according to claim 6, wherein the set of device values used for color reproduction with a color reproduction apparatus is RGB values which are three primary colors of additive color mixture, CMY values which are three primary colors of subtractive primary colors, or CMYK values.
Claim 11
Dependent Claim
32 words
An apparatus for estimating a spectral reflectance distribution or a spectral transmittance distribution according to claim 6, wherein said neural network is a multilayered feedforward neural network comprising three to five layers.
Claim 12
Dependent Claim
38 words
An apparatus for estimating a spectral reflectance distribution or a spectral transmittance distribution according to claim 6, wherein KL expansion is used as the linear polynomial approximation, and coefficients of KL expansion are used as the principal components.
Claim 13
Independent Claim
244 words
An apparatus for estimating a spectral reflectance distribution or a spectral transmittance distribution of a color with a set of device values used for color reproduction with a color reproduction apparatus, including at least three device values used for color reproduction with a color reproduction apparatus on the basis of the set of device values used for color reproduction with a color reproduction apparatus, comprising: input means to which a set of device values used for color reproduction with a color reproduction apparatus, including at least three device values used for color reproduction with a color reproduction apparatus, is inputted and which converts the inputted set of device values used for color reproduction with a color reproduction apparatus into corresponding electrical signals; a storage device for storing eigenvectors obtained by multivariate analysis, a mean vector of the spectral reflectance distribution or the spectral transmittance distribution, coefficients of connection learned by a neural network; said neural network for converting the electrical signals from said input means into electrical signals corresponding to at least three parameters and corresponding to the inputted electrical signals and obtained by the multivariate analysis of the spectral reflectance distribution or the spectral transmittance distribution, and for outputting the same: and estimating means for estimating a spectral reflectance distribution or a spectral transmittance distribution by the electrical signals outputted from said neural network and by linear polynomial approximation using the eigenvectors and the mean vector which are stored in said storage means.
Claim 14
Independent Claim
244 words
An apparatus for estimating a spectral reflectance distribution or a spectral transmittance distribution of a color with a set of device values used for color reproduction with a color reproduction apparatus, including at least three device values used for color reproduction with a color reproduction apparatus on the basis of the set of device values used for color reproduction with a color reproduction apparatus, comprising: input means to which a set of device values used for color reproduction with a color reproduction apparatus, including at least three device values used for color reproduction with a color reproduction apparatus, is inputted and which converts the inputted set of device values used for color reproduction with a color reproduction apparatus into corresponding electrical signals; a storage device for storing eigenvectors obtained by multivariate analysis, a mean vector of the spectral reflectance distribution or the spectral transmittance distribution, coefficients of connection learned by a neural network; said neural network for converting the electrical signals from said input means into electrical signals corresponding to at least three parameters and corresponding to the inputted electrical signals and obtained by the multivariate analysis of the spectral reflectance distribution or the spectral transmittance distribution, and for outputting the same: and estimating means for estimating a spectral reflectance distribution or a spectral transmittance distribution by the electrical signals outputted from said neural network and by linear polynomial approximation using the eigenvectors and the mean vector which are stored in said storage means.
Claim 15
Dependent Claim
45 words
An apparatus for estimating a spectral reflectance distribution or a spectral transmittance distribution according to claim 11, further comprising: output means for outputting the spectral reflectance distribution or the spectral transmittance distribution estimated by said estimating means as an output signal of a predetermined form.
Claim 16
Dependent Claim
254 words
An apparatus for estimating a spectral reflectance distribution or a spectral transmittance distribution according to claim 11, wherein said neural network measures the spectral reflectance distribution of each a multiplicity of color chips corresponding to the at least three device values used for color reproduction with a color reproduction apparatus and each having a color whose density differs for each of the device values used for color reproduction with a color reproduction apparatus; determines an eigenvector by performing principal-component analysis by using a covariance matrix of values in each of which the mean vector of the spectral reflectance distribution is subtracted from the spectral reflectance distribution; determines the at least three principal components corresponding to each of sets of device values used for color reproduction with a color reproduction apparatus, including at least three device values used for color reproduction with a color reproduction apparatus, by using the determined eigenvector and the values in each of which the mean vector of the spectral reflectance distribution is subtracted from the spectral reflectance distribution; and undergoes learning by using the sets of device values used for color reproduction with a color reproduction apparatus and the principal components such that the at least three characteristics parameters corresponding to the set of device values used for color reproduction with a color reproduction apparatus are outputted when the set of device values used for color reproduction with a color reproduction apparatus, including the at least three device values used for color reproduction with a color reproduction apparatus, is inputted.
Claim 17
Dependent Claim
58 words
An apparatus for estimating a spectral reflectance distribution or a spectral transmittance distribution according to claim 11, wherein the set of device values used for color reproduction with a color reproduction apparatus is RGB values which are three primary colors of additive color mixture, CMY values which are three primary colors of subtractive primary colors, or CMYK values.
Claim 18
Dependent Claim
32 words
An apparatus for estimating a spectral reflectance distribution or a spectral transmittance distribution according to claim 11, wherein said neural network is a multilayered feedforward neural network comprising three to five layers.
Claim 19
Dependent Claim
38 words
An apparatus for estimating a spectral reflectance distribution or a spectral transmittance distribution according to claim 11, wherein KL expansion is used as the linear polynomial approximation, and coefficients of KL expansion are used as the principal components.
Claim 20
Independent Claim
236 words
A method of estimating a spectral reflectance distribution or a spectral transmittance distribution of a color, specific to a subject color-reproducing apparatus, comprising the steps of: causing a neural network to undergo learning specifically for the color-reproducing apparatus, to output at least three principal components when a set of at least three device values used for color reproduction with a color reproduction apparatus of a color, which has a spectral reflectance distribution or a spectral transmittance distribution, is inputted into the color-reproducing apparatus, based on multivariate analysis of the spectral reflectance distribution or the spectral transmittance distribution; correlating a set of the device values used for color reproduction with a color reproduction apparatus of a color with a spectral reflectance distribution or a spectral transmittance distribution of the color, by using a linear polynomial approximation using the principal components, eigenvectors obtained by the multivariate analysis, and a mean vector of the spectral reflectance distribution or the spectral transmittance distribution; inputting a set of the device values used for color reproduction with a color reproduction apparatus of a subject color into the color-reproducing apparatus; and estimating a spectral reflectance distribution or a spectral transmittance distribution of the subject color, based on the correlation between a set of the device values used for color reproduction with a color reproduction apparatus with a spectral reflectance distribution or a spectral transmittance distribution, using the neural network which has completed learning.
Claim 21
Independent Claim
236 words
A method of estimating a spectral reflectance distribution or a spectral transmittance distribution of a color, specific to a subject color-reproducing apparatus, comprising the steps of: causing a neural network to undergo learning specifically for the color-reproducing apparatus, to output at least three principal components when a set of at least three device values used for color reproduction with a color reproduction apparatus of a color, which has a spectral reflectance distribution or a spectral transmittance distribution, is inputted into the color-reproducing apparatus, based on multivariate analysis of the spectral reflectance distribution or the spectral transmittance distribution; correlating a set of the device values used for color reproduction with a color reproduction apparatus of a color with a spectral reflectance distribution or a spectral transmittance distribution of the color, by using a linear polynomial approximation using the principal components, eigenvectors obtained by the multivariate analysis, and a mean vector of the spectral reflectance distribution or the spectral transmittance distribution; inputting a set of the device values used for color reproduction with a color reproduction apparatus of a subject color into the color-reproducing apparatus; and estimating a spectral reflectance distribution or a spectral transmittance distribution of the subject color, based on the correlation between a set of the device values used for color reproduction with a color reproduction apparatus with a spectral reflectance distribution or a spectral transmittance distribution, using the neural network which has completed learning.
Claim 22
Independent Claim
246 words
A method of reproducing a color using a color-reproducing apparatus, comprising the steps of: causing a neural network to undergo learning specifically for the color-reproducing apparatus, to output at least three principal components when a set of at least three device values used for color reproduction with a color reproduction apparatus of a color, which has a spectral reflectance distribution or a spectral transmittance distribution, is inputted into the color-reproducing apparatus, based on multivariate analysis of the spectral reflectance distribution or the spectral transmittance distribution; correlating a set of the device values used for color reproduction with a color reproduction apparatus of a color with a spectral reflectance distribution or a spectral transmittance distribution of the color, by using a linear polynomial approximation using the principal components, eigenvectors obtained by the multivariate analysis, and a mean vector of the spectral reflectance distribution or the spectral transmittance distribution; inputting a set of the device values used for color reproduction with a color reproduction apparatus of a subject color into the color-reproducing apparatus; estimating a spectral reflectance distribution or a spectral transmittance distribution of the subject color, based on the correlation between a set of the device values used for color reproduction with a color reproduction apparatus with a spectral reflectance distribution or a spectral transmittance distribution, using the neural network which has completed learning; and reproducing a color using the color-reproducing apparatus based on the estimated spectral reflectance distribution or spectral transmittance distribution of the subject color.
Claim 23
Independent Claim
246 words
A method of reproducing a color using a color-reproducing apparatus, comprising the steps of: causing a neural network to undergo learning specifically for the color-reproducing apparatus, to output at least three principal components when a set of at least three device values used for color reproduction with a color reproduction apparatus of a color, which has a spectral reflectance distribution or a spectral transmittance distribution, is inputted into the color-reproducing apparatus, based on multivariate analysis of the spectral reflectance distribution or the spectral transmittance distribution; correlating a set of the device values used for color reproduction with a color reproduction apparatus of a color with a spectral reflectance distribution or a spectral transmittance distribution of the color, by using a linear polynomial approximation using the principal components, eigenvectors obtained by the multivariate analysis, and a mean vector of the spectral reflectance distribution or the spectral transmittance distribution; inputting a set of the device values used for color reproduction with a color reproduction apparatus of a subject color into the color-reproducing apparatus; estimating a spectral reflectance distribution or a spectral transmittance distribution of the subject color, based on the correlation between a set of the device values used for color reproduction with a color reproduction apparatus with a spectral reflectance distribution or a spectral transmittance distribution, using the neural network which has completed learning; and reproducing a color using the color-reproducing apparatus based on the estimated spectral reflectance distribution or spectral transmittance distribution of the subject color.
References Cited (Backward Citations)
US5162899A
Cited
US5025282A
Cited
US5185850A
Cited
US5386496A
Cited
US5502799A
Cited
US5590251A
Cited
US5559604A
Cited
USPTO Annuity & Maintenance Windows
| Annuity Stage | Window Opens | Payment Deadline | Surcharge Period Until | Estimated Fee | Status |
|---|---|---|---|---|---|
| 3.5 Years (Year 4) | 2002-01-25 | 2002-07-27 | 2003-01-26 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 2006-01-25 | 2006-07-27 | 2007-01-26 | $3760.00 | Window Closed / Lapsed |
| 11.5 Years (Year 12) | 2010-01-25 | 2010-07-27 | 2011-01-26 | $7700.00 | Window Closed / Lapsed |