Canon Kabushiki Kaisha

Shuichi Kumada

Manabu Ohga

Shunya Mitsuhashi

Hayato Kubo

Kenichi Naito

Toshihisa Okutsu

Yasushi Nakajima

Ayako Sano

Kenichi Ohta

Takatoshi Ohta

Yosuke Hayase

Yoko Sato

Kazumi Chiba

Hironobu Taki

An image processing system includes a server apparatus and a plurality of image output apparatuses connected to the server apparatus is provided. The server apparatus comprises an intermediate code generation unit configured to generate an intermediate code on the basis of image data, and an intermediate code transmission unit configured to transmit the intermediate code to each of the plurality of image output apparatuses. Each of the plurality of image output apparatuses comprises an intermediate code reception unit configured to receive the intermediate code from the server apparatus, an output color correction unit configured to execute, for the intermediate code, color correction for output, a rendering unit configured to render an image on the basis of the intermediate code which has undergone the color correction and an image output unit configured to output the rendered image.

Image processing system and method

In order to obtain consistent output by a remote color printer over a communication network, a calibration is remotely performed on the remote color printer. More specifically, job data, including setting information for a calibration, is received, and the setting for the calibration is switched in accordance with the setting information between performing calibration processing on the job data by using calibration data obtained based on the setting information and performing calibration processing on the job data and job data received after the job data by using calibration data obtained based on the setting information.

Image processing method, image processor, storage medium and program

An image which has been color-converted in correspondence with the output characteristics of a printing press as a target for the purpose of proof may often be printed by a copying machine or printer. Prior to the proof, a generation history of a generated profile of an output device is preferably managed. The operator sets whether or not to save parameters (saving location and profile name) associated with saving of a file and colorimetric values, whether or not to save history management information, and the like.

Image processing method and apparatus, and profile management method

When a color-reproducibility precision is determined with a plurality of evaluation colors, an overall color-reproducibility precision needs to be obtained with the plurality of evaluation colors to evaluate color reproducibility with a high precision. A color-evaluation-scale calculation section calculates color differences and metrics from the input colorimetric values of a reference image and the input colorimetric values of an image to be evaluated, for a plurality of evaluation colors, and computes a plurality of color-evaluation scales indicating a color-reproducibility precision of the image to be evaluated, according to the calculated color differences and metrics.

Evaluation apparatus, evaluation method, storage medium storing program, and program, for evaluating color reproducibility

If gamut mapping (hue restoration) defined by one Lab color space is applied in color matching under different reference white points, the human vision perceives the hue as inconsistent. In view of this, input data which is dependent on a color space of an input device is converted by the conversion LUTto color space data which is independent of any devices, based on a viewing condition at the time of viewing an input original. The data is converted to data in the human color perception space by the forward converter, then subjected to gamut mapping, and converted back to data in the color space independent of any devices by the inverse converter, based on a viewing condition at the time of viewing an output original. Then, the data is converted to output data in a color space which is dependent on an output device by the conversion LUT

Image processing method and apparatus

Upon reading an A3-size sample image, a colorimeter that can read A3 size can be used but such A3-size calorimeter is expensive. For this reason, an A3-size recording paper sheet is cut into halves, i.e., two A4-size sample images, which are measured by an A4-size calorimeter. To prevent such troublesome operation, color patches are divided into nearly half groups, and these color patch groups are printed on an A3-size recording paper sheet to have their top positions on the opposite sides. In this way, after one color patch group is measured, the sample image is rotated through 180&#xb0; and is set on the calorimeter to measure the other color patch group.

Image processing apparatus and its control method, and image processing method

A network server for communicating with a network terminal through a network, comprising a reception unit for receiving, from the network terminal, selection information of a color management module and a device profile for performing a color matching process, a control unit for obtaining the color management module and the device profile, based on the selection information, a color matching unit for performing the color matching process on input data, by using the color management module and the device profile obtained by the control unit, and a communication unit for communicating the data subjected to the color matching process, to the network terminal.

Color matching, and calibrating a color-matching profile, preferably using a client-server architecture

When color matching using CIECAM97s is carried out, it is required that the characteristics of lighting conditions be detected simply and accurately. In a conventional method of detecting lighting conditions, accurate characteristic values cannot be detected if the user selects lighting conditions of a variety of types sensorially. If detection is performed directly by a photometric sensor, on the other hand, apparatus having a complicated structure is required. According to the invention, therefore, the rated-product number of a lighting lamp is input, a lighting characteristic value is calculated based upon the rated-product number, and color matching processing is executed using a color appearance model that is based upon the lighting characteristic value. As a result, lighting characteristics can be detected simply and accurately and it is possible to execute color matching processing using a color appearance model that takes lighting into account.

Image processing method, apparatus and system

A recording apparatus includes a color table for storing color information corresponding 1:1 to color information codes. The apparatus executes color recording by providing color information corresponding to the color information code to the given character data or image data. The apparatus features a function of expanding the color information, and a function of confirming the color information.

Recording apparatus

Disclosed are a highly versatile image processing method and apparatus wherein it is possible to preview an image that takes into account a change in the color reproduction characteristic of an output device with the passage of time, as well as a computer readable memory storing a program for executing this preview processing. A printer that outputs an image is calibrated in regard to its image output characteristic and a set of one-dimensional LUTs that conforms to the color reproduction characteristic of the printer is generated. On the basis of the set of one-dimensional LUTs, the content of a set of one-dimensional LUTs, which is used when PCS data that has been stored in a profile corresponding to the printer is converted to data dependent upon the printer, is modified, and another set of one-dimensional LUTs, which is used when data dependent upon the printer is converted to PCS data, is modified.

Image processing method, image processing apparatus and computer readable memory

In an image processing apparatus, it is possible to automatically select a substitute output device which is substituted for an indicated output device and can reproduce a color image equivalent to that output by the indicated output device. The apparatus comprises a judgment function for judging whether or not output is to be performed by the indicated output device, and a selection function for selecting, if it is judged by the judgment function that the output is not to be performed by the indicated output device, the substitute output device on the basis of color reproduction information of output devices being candidates for the indicated output device.

Image processing apparatus and method that automatically selects a substitute output device

An image processing apparatus having a discriminating unit for discriminating a data type of a color document and a selecting unit for selecting an output device for outputting the color document from a plurality of output devices in accordance with a discrimination result by the discriminating unit and color reproduction range information of output devices. An optimum output device can be selected from a plurality of output devices, while taking into consideration the color reproduction ability of each output device with respect to the data type of each color document.

Image processing method and apparatus and storage medium storing processes of executing the method

A recording apparatus includes a color table for storing color information corresponding 1:1 to color information codes. The apparatus executes color recording by providing color information corresponding to the color information code, to the given character data or image data. The apparatus features a function of expanding the color information, and a function of confirming the color information.

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Yokohama, Japan

Shuichi Kumada