Abstract: A method for determining a sharpness predictor for an input digital image includes determining one or more image metrics by analyzing the input digital image; and determining the sharpness predictor from the one or more image metrics.

Abstract: A method for determining a sharpness predictor for an input digital image includes determining one or more image metrics by analyzing the input digital image; and determining the sharpness predictor from the one or more image metrics.

Abstract: A method for determining a sharpness predictor for an input digital image includes determining one or more image metrics by analyzing the input digital image; and determining the sharpness predictor from the one or more image metrics.

Abstract: A method for automatically compensating for scanner metamerism errors associated with scanning input images using a digital color image scanner, wherein the input images can be on a variety of different input media having colorants with different spectral characteristics, comprising scanning an input image on a digital color image scanner to produce a scanned image; determining one or more estimated color balance error values in a color balance parameter space by analyzing the scanned image using a color balance analysis algorithm; assigning an input medium from a set of possible input media for the scanned input image in response to the estimated color balance error values; selecting a scanner metamerism correction color transform associated with the assigned input medium; and applying the selected scanner metamerism correction color transform to the scanned image to produce a corrected image compensated for scanner metamerism errors.

Abstract: A method for printing an input digital image using a digital printer having a set of colorants with substantially the same color but different densities, including a sequence of node points where each of the two or more colorants are either at their maximum or minimum values, setting colorant concentrations such that the color channel output responses corresponding to the sequence of node points are substantially equally spaced in a visually uniform color space; forming colorant control look-up tables to provide smooth transitions in the color channel output response between the sequence of node points; addressing the colorant control look-up tables with the printer code value for each pixel of the input digital image to determine the colorant control signals for each of the two or more colorants; and controlling the digital printer using the colorant control signals to produce a print of the input digital image.

Abstract: A method for multi-toning an input digital image having input pixels with two or more color channels to form an output digital image having modified output levels. The method includes determining modified output levels using a combined error signal formed from intermediate error signals for each color channel together with an error signal offset value, and adjusting the input levels for the nearby pixels responsive to weighted error signals.

Abstract: A method of computing swath data in response to a digital image having a plurality of rows and columns of pixels, each pixel having a multitone code value, the swath data suitable for commanding an inkjet printer containing at least one printhead having plurality of nozzles, wherein the inkjet printer is capable of ejecting ink drops in response to the swath data.

Abstract: A method for selecting the level of color inconstancy of an output image produced on a digital color printer having a neutral ink and a plurality of color inks is disclosed. The method includes analyzing the distribution of input colors present in the input digital image to determine a color distribution metric related to the importance of producing output images having a reduced color inconstancy when the output image is viewed under a variety of image illumination spectra; selecting a color transform from a set of available color transforms designed to produce output images having different color inconstancy characteristics in response to the color distribution metric; processing the input digital image using the selected color transform to produce a transformed image having a selected level of color inconstancy; and printing the transformed image on the digital color printer to produce an output image having the selected level of color inconstancy.

Abstract: A method for modifying an input digital image having one or more color channels, each color channel having an (x,y) array of image pixel values, to form a modified digital image so that when the modified digital image is used to produce a printed image on an inkjet printer there are reduced ink bleed artifacts.

Abstract: A method for reducing banding artifacts for bi-directional multi-pass printing on an inkjet printer utilizing a printhead with a plurality of ink nozzles includes defining different print masks to be used for leftward and rightward printing passes such that both the order of ink laydown and the timing between ink laydown on different passes are each substantially constant for a given horizontal position within the image, independent of the vertical position within the image; and printing an input image on the inkjet printer with the defined print masks using a bi-directional multi-pass print mode.

Abstract: A method for multi-level error diffusion halftoning an input digital image to form an output digital image with reduced error diffusion texture contouring artifacts which includes modifying the input pixel values for a fraction of the input pixels using a periodic dither signal, where the fraction is a function of the texture artifact characteristics of the multi-level error diffusion halftoning process.

Abstract: Method for building color transforms for color imaging devices having concave color gamut regions, including forming a device model that relates device control signals for a color imaging device to corresponding device-independent color values in a device-independent color space; forming a device color gamut representing the set of colors in the device-independent color space that are producible by the color imaging device; and forming a convex color gamut by fitting a convex hull to the device color gamut. The method further includes forming an expanded device model that relates device control signals for the color imaging device to expanded device-independent color values in the device-independent color space, such that the expanded device-independent color values fill the convex color gamut; and building a color transform that relates input device-independent color values to corresponding device control signals for the color imaging device using the expanded device model.

Abstract: In an image enhancement method, a regular enhancement function and an aggressiveness parameter are computed using characteristics of a digital image. A first, relatively slow enhancement algorithm is applied to the digital image using the regular enhancement function, when an aggressiveness parameter is in a predetermined high range. A second, relatively fast enhancement algorithm is applied to the digital image using the regular enhancement function, when an aggressiveness parameter is in a predetermined low range. A modified enhancement function is calculated using characteristics of the digital image and is used with a second, relatively fast enhancement algorithm, when the aggressiveness parameter is in a predetermined medium range.

Abstract: A method for multi-toning an input digital image having input pixels with two or more color channels to form an output digital image having modified output levels. The method includes producing shifted error signals for each color channel, weighting the shifted error signals to determine weighted error signals for nearby pixels that have yet to be processed; producing shifted weighted error signals; and adjusting the input levels for the nearby pixels responsive to the shifted weighted error signals.

Abstract: A method for determining colorant control values for a color imaging device having four or more colorants is disclosed. The method includes defining a color mapping for a set of paths through a three-channel color space, defining a color mapping function for the three-channel color space relating the three-channel color space values to colorant control values for the four or more colorants of the color imaging device by interpolating between the color mapping defined for the set of paths, forming a forward three-channel color model relating the three-channel color space values to device-independent color values, inverting the forward three-channel color model to determine an inverse three-channel color model relating the device-independent color values to the three-channel color space values, and combining the inverse three-channel color model and the color mapping function to determine an inverse device color model.

Abstract: A method for automatically compensating for scanner metamerism errors associated with scanning input images using a digital color image scanner, wherein the input images can be on a variety of different input media having colorants with different spectral characteristics, comprising scanning an input image on a digital color image scanner to produce a scanned image; determining one or more estimated color balance error values in a color balance parameter space by analyzing the scanned image using a color balance analysis algorithm; assigning an input medium from a set of possible input media for the scanned input image in response to the estimated color balance error values; selecting a scanner metamerism correction color transform associated with the assigned input medium; and applying the selected scanner metamerism correction color transform to the scanned image to produce a corrected image compensated for scanner metamerism errors.

Abstract: A method is described for applying an image enhancement algorithm to input digital images represented in different input color spaces including identifying the input color space of an input digital image, and applying a color space transformation to the input digital image represented in the input color space to form a corresponding input digital image in a reference color space. The method also includes adjusting one or more algorithm parameters of the image enhancement algorithm in response to the identified input color space, and applying the image enhancement algorithm with the one or more adjusted algorithm parameters to the corresponding input digital image in the reference color space to produce an enhanced digital image in the reference color space.

Abstract: A method for multi-level halftoning an input digital image to form an output digital image which includes a multi-level error diffusion halftoning process incorporating periodic dither signals whose amplitudes are adjusted as a function of the error-diffusion texture characteristics.

Abstract: A method for determining a set of n-dimensional colorant control signals that map to a point P in an m-dimensional color space where n>m, including determining a forward device model that maps n-dimensional colorant control signals to m-dimensional color space signals; determining a set of n-dimensional colorant control signal simplexes that span a domain of the forward device model; and determining a set of range space simplexes in the m-dimensional color space corresponding to the set of n-dimensional colorant control space signal simplexes by mapping the vertices of the n-dimensional colorant control signal simplexes into the m-dimensional color space using the forward device model. The method also includes specifying a point P in the m-dimensional color space; and determining the set of n-dimensional colorant control signals that map to the point P in the m-dimensional color space, by performing m sequential slicing processes through the set of range space simplexes.

Abstract: A method for multi-toning an input digital image having input pixels with two or more color channels to form an output digital image having modified output levels. The method includes producing an error signal for each color channel, combining the error signals to produce a combined error signal, sorting the error signals to produce a set of sorted error signals, and determining modified output levels responsive to the set of sorted error signals and the combined error signal.