Abstract:
Techniques for interactively determining/visualizing the color content of a source image and how the corresponding image data is mapped to device colors are described herein. For example, the color content of a digital image can be converted between different color spaces to identify gamut limitations of an output device (e.g., a printing assembly), discover color(s) that cannot be accurately reproduced, etc. Color space conversions enable the transformation of the color content of the digital image from device-specific colorants to a device-independent representation (and vice versa). In some embodiments, these transformations are facilitated using lookup tables that are implemented in graphical processing unit-resident memory.
Abstract:
A device link profile adjustment method of a computer carrying out a process of adjusting a device link table in a device link profile expressing a correspondence relationship between a first coordinate value of a first device-dependent color space and a second coordinate value of a second device-dependent color space, the method including: accepting an adjustment target at an adjustment point, using a coordinate in a profile connection space as a reference; and adjusting the device link table based on the adjustment target and a color conversion table including a device-independent coordinate value of the profile connection space of an original profile used to create the device link table.
Abstract:
An image reading device includes a first unit to read one surface of a document in a first area facing a document path, a second unit disposed in the first area to read the other surface of the document, a first reference member facing the first unit at a first distance therefrom at a second position in a second area not facing the path, a second reference member facing the first unit at a second distance therefrom at a first position in the first area, a third reference member facing the second unit at the second distance therefrom, and a correction unit to correct, based on a difference between first data generated through reading of the first member by the first unit and second data generated through reading of the second member by the first unit, third data generated through reading of the third member by the second unit.
Abstract:
An image reading apparatus includes an image reading section and a detection section. The image reading section includes at least two detection units, and performs a reading operation on an image. The at least two detection units have respective spectral characteristics which are different from each other. The detection section detects a condition of an irregularity on an image carrier by comparing a detection result of the image read by the image reading section with an output characteristic. The output characteristic is stored in advance and is a color component obtained from a value obtained by the image reading section reading a test image having a region in at least one color.
Abstract:
A printing system is disclosed. The printing system includes a halftone calibration module to receive one or more un-calibrated halftones, transform un-calibrated threshold values in the one or more un-calibrated halftones via an inverse transfer function to generate calibrated halftone threshold values and generate one or more calibrated halftones based on the calibrated halftone threshold values.
Abstract:
An image forming apparatus includes: a first correction unit configured to obtain a measurement value of a correction amount based on a detection result by a detection unit, and correct an image forming condition based on the measurement value; a second correction unit configured to obtain a variation value by a prediction calculation at a predetermined timing, obtain a prediction value by accumulating the variation value since the first correction unit performed the correction, and correct the image forming condition based on the prediction value, the variation value being a estimated value of the correction amount; and a determination unit configured to obtain an evaluation value related to a prediction error based on the variation value since the first correction unit performed the correction, and determine, based on the evaluation value, the correction timing by the first correction unit.
Abstract:
Spectral power distribution of an illumination is restored using color information in a region of the specific object in an input image and a pre-specified representative surface reflectance of the specific object. The surface reflectance in the region of the specific object is restored from the color information and the spectral power distribution of the illumination. The surface reflectance is corrected using three or more pre-specified reference surface reflectances of the specific object. The color in the region of the specific object is calculated from the spectral power distribution of the illumination and the corrected surface reflectance.
Abstract:
An input imaging system and method for improving color accuracy in a scanning of a document are disclosed. For example, the apparatus includes a scanning unit for scanning a document, a user interface for receiving a color value in the document and a processor coupled to the scanning unit and the user interface to identify a portion of the document that includes the color value that is received via the user interface, generate a scanned document having a corresponding portion that is coded with an inaccurate color value and adjusting the inaccurate color value of the corresponding portion in the scanned document to match the color value that is received.
Abstract:
The present invention includes a first generating unit that generates a recording-amount of a chromatic-color-material in each pixel of a color-image from first image data indicating the color-image; a second generating unit that generates a recording-amount of a transparent-color-material in each pixel of a transparent-image from second image data indicating the transparent-image; a storage unit that stores an upper-limit-recording-amount of the color-materials and an upper-limit-recording-amount assignable to the transparent-color-material, for color material image data indicating an image formed from the recording-amount of the chromatic-color-material and the recording-amount of the transparent-color-material; and a correcting unit that calculates a recording-amount assignable to the transparent-color-material by subtracting the recording-amount of the chromatic-color-material from the upper-limit-recording-amount of the color-materials, and corrects the recording-amount of the transparent-color-material in each pixel based on a ratio of the calculated recording-amount assignable to the transparent-color-material and the upper-limit-recording-amount assignable to the transparent-color-material.
Abstract:
A method for processing an image includes: detecting and outputting an attributed of each pixel of input image data; performing a filtering process in which smoothing is performed on the input image data; detecting an edge amount being N value (where N>2) information from the data subjected to the smoothing; removing a chromatic color in a first removal amount according to the detected edge amount from all of the pixels; and removing a chromatic color in a second removal amount according to the detected edge amount from the pixel that has been determined to have a text attribute and an achromatic attribute at the detecting, wherein the second removal amount is determined on the basis of a discrete M value (where M>2) corresponding to the edge amount.