Abstract:
A method of characterizing an imaging system is described includes printing a color chart having a plurality of predetermined color patches; measuring the color patches to obtain colorimetric data; initializing a Neugebauer model with the Neugebauer solids of said colorimetric data; optimizing the global parameters of the Neugebauer model; optimizing the parameters associated with Demichel terms based on the Neugebauer primary associated with the Demichel term; optimizing parameters that vary with device coordinates; and creating a characterization file for the imaging system.
Abstract:
A method for forming a color transform for a color printing device having a plurality of colorant channels that includes applying a tone scale adjustment function and a total colorant load limit. An optimization process is used to optimize a merit function including a tone scale reproduction accuracy term and a gamut shape term. The method involves determining an initial merit function value responsive to an initial total colorant load limit and an initial set of tone scale adjustment parameters for a tone scale adjustment function. Modified tone scale adjustment parameters and a modified total colorant load limit are determined that provide an improved merit function value subject to a constraint that an average total colorant load is no more than a predefined threshold for a predefined distribution of input colors.
Abstract:
A method for applying gamut mapping to an input digital image having an associated input color gamut, to produce an output digital image having an associated output color gamut, which includes: defining a gamut mapping color transform which embodies the operations of transforming input color values from the input color space to linear RGB color values for a linear RGB color space, wherein the linear RGB color space has desirable hue preserving characteristics; transforming the linear RGB color values to determine nonlinear RGB color values; applying a 3×3 matrix transformation to the nonlinear RGB values to an opponent color space; applying a gamut mapping function to map opponent color values within the input color gamut to produce modified opponent color values within the output color gamut; and transforming the modified opponent color values to produce the output color values in the output color space.
Abstract:
A color measurement device includes an aperture for obtaining light from a color sample to be measured; a plurality of sets of color filters associated with human observer functions at different regions of color space; at least one detector for measuring the intensity of filtered light; an analog to digital converter for converting voltage signals from the at least one detector to digital values representative of tristimulus values associated with each of the sets of color filters; and a processor to combine the sets of tristimulus values in order to calculate a final set of tristimulus values, the combining being a function of at least one of the sets of tristimulus values.
Abstract:
A method for determining color-matching functions includes obtaining spectral data originating from metameric pairs and generating new color matching functions by modifying original color matching functions. The new color matching functions are constrained to be similar to the original color matching functions while reducing calculated perceptual error between the metameric pairs. In another embodiment a method for determining color-matching functions spectral data originating from color matching experiments and from metameric pairs are generated. Color matching functions from a set of parameters and an error function that indicates error due to perceptual differences between the parameterized color matching functions and the color matching experiments are defined. Methods for defining human observer functions, optimizing the definitions of LMS cone response functions as well as other methods and systems are also disclosed.
Abstract:
The invention is directed to various calibration techniques for calibrating an imagining device such as a display device, a printer, or a scanner. The techniques may involve characterizing the imaging device with a device model such that an average error between expected outputs determined from the device model and measured outputs of the imaging device is on the order of an expected error, and adjusting image rendering on the imaging device to achieve a target behavior. The invention can achieve a balance between analytical behavior of the imaging device and measured output. In this manner, adjustments to image rendering may be more likely to improve color accuracy and less likely to overcompensate for errors that are expected.
Abstract:
Techniques for customer charge accounting in a soft proofing system take into account one or more factors associated with a hard copy proofing job simulated by the soft proofing system. The charge for the soft proofing job can be correlated, at least in part, to the overall cost of the hard copy proofing job emulated by the soft proofing job. The factors use to calculate the customer charge for a soft proofing job may include, for example, comparable hard copy equipment costs, comparable hard copy media costs, hard copy delivery costs, avoidance of delivery and production delays relative to hard copy proofing, and the number of users that view the hard copy proofing job. A value scale factor may be applied to a base cost for a given soft proof, thereby yielding a cost that can be charged to the customer.
Abstract:
A system and method for color characterization and transformation obtain color data representing output of a color imaging system, and convert the color data using a color space having a white reference vector that is adjusted during the conversion. The white reference vector can be adjusted according to intensities of the color data being converted. Adjustment of the white reference vector serves to avoid nonuniformities for color imaging systems having different imaging bases, and thereby eliminates, or at least reduces, the amount of empirical adjustment necessary to obtain an acceptable visual match between the color imaging systems.
Abstract:
A method of oligosaccharide sequencing in which the components are determined essentially simultaneously is disclosed which comprises a series of steps as follows:A. Placing an identifying label on the reducing terminal residue of the oligosaccharide to be sequenced,B. Dividing said oligosaccharide into a plurality of separate portions of known integer amounts,C. Treating each said portion with a different reagent mix to thereby provide a series of reaction mixtures,D. Pooling known integer amounts of the products from each separate reaction mixture to give a product pool,E. Performing an analysis on said product pool which measures the molar proportions of the reaction products, andF. Reconstructing or identifying the starting oligosaccharide from the molar prevalence of said reaction products.
Abstract:
A method for determining color-matching functions includes obtaining spectral data originating from metameric pairs and generating new color matching functions by modifying original color matching functions. The new color matching functions are constrained to be similar to the original color matching functions while reducing calculated perceptual error between the metameric pairs. In another embodiment a method for determining color-matching functions spectral data originating from color matching experiments and from metameric pairs are generated. Color matching functions from a set of parameters and an error function that indicates error due to perceptual differences between the parameterized color matching functions and the color matching experiments are defined. Methods for defining human observer functions, optimizing the definitions of LMS cone response functions as well as other methods and systems are also disclosed.