Abstract: 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.

Abstract: An image processing method for inputting a color image signal and correcting the color image signal according to an observation condition, comprising the steps of: judging whether or not the input color image signal represents achromatic color; and controlling the correction according to the judged result, thereby enabling to excellently and satisfactorily perform color reproduction to achromatic color even under different observation conditions.

Abstract: 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.

Abstract: 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 LUT 11 to 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 12, then subjected to gamut mapping, and converted back to data in the color space independent of any devices by the inverse converter 15, 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 16.

Abstract: A color processing method which sets viewing conditions easily and properly from shooting conditions added to an image. Shot image data and shooting conditions of the image data are obtained. Input side viewing conditions from the obtained shooting conditions are set. The image data with a color appearance model based on the set input side viewing conditions are converted.

Abstract: When one viewing condition parameter is applied to all pixels, a visual effect between a single color and a background expressed on a rasterized image cannot be reflected on a color matching result. To prevent this, when color matching using a human color appearance model is to be performed, the distance between an image and a viewer and the resolution of the image are input. On the basis of the input distance and resolution, a stimulus region, adjacent region, and background region based on a plurality of field angles (e.g., 2°, 4°, and 10°) for a pixel of interest on the image are defined, thereby determining a viewing condition parameter and performing color matching.

Abstract: 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.

Abstract: 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 LUT 11 to 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 12, then subjected to gamut mapping, and converted back to data in the color space independent of any devices by the inverse converter 15, 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 16.

Abstract: If one gamut mapping (hue restoration) defined by the 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 LUT 11 to 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 12, then subjected to gamut mapping, and converted back to data in the color space independent of any devices by the inverse converter 15, 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 16.

Abstract: Color caching method used in color matching processing has advantages and disadvantages, and the processing efficiency depends upon an image to be processed. In view of this, color matching calculation and caching for uniquely determining an output color corresponding to an input color are employed to calculate a hit rate per unit block at a checkpoint block when performing color matching processing in block unit having a predetermined pixel size. Based on the calculated hit rate, a caching method to be applied to a block subsequent to the checkpoint block is determined.

Abstract: 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 LUT 11 to 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 12, then subjected to gamut mapping, and converted back to data in the color space independent of any devices by the inverse converter 15, 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 16.

Abstract: 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 calorimetric values, whether or not to save history management information, and the like.

Abstract: When one viewing condition parameter is applied to all pixels, a visual effect between a single color and a background expressed on a rasterized image cannot be reflected on a color matching result. To prevent this, when color matching using a human color appearance model is to be performed, the distance between an image and a viewer and the resolution of the image are input. On the basis of the input distance and resolution, a stimulus region, adjacent region, and background region based on a plurality of field angles (e.g., 2°, 4°, and 10°) for a pixel of interest on the image are defined, thereby determining a viewing condition parameter and performing color matching.

Abstract: 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 LUT 11 to 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 12, then subjected to gamut mapping, and converted back to data in the color space independent of any devices by the inverse converter 15, 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 16.

Abstract: 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 LUT 11 to 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 12, then subjected to gamut mapping, and converted back to data in the color space independent of any devices by the inverse converter 15, 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 16.

Abstract: When one viewing condition parameter is applied to all pixels, a visual effect between a single color and a background expressed on a rasterized image cannot be reflected on a color matching result. To prevent this, when color matching using a human color appearance model is to be performed, the distance between an image and a viewer and the resolution of the image are input. On the basis of the input distance and resolution, a stimulus region, adjacent region, and background region based on a plurality of field angles (e.g., 2°, 4°, and 10°) for a pixel of interest on the image are defined, thereby determining a viewing condition parameter and performing color matching.

Abstract: There is a method of executing color matching for image data obtained via a network using a profile of an input device embedded in image data received from a server, a profile of an output device selected by the user, and a color matching module (CMM) of the client. This processing method is suitable for distributed processing since the load on the server is light. However, since the CMM of the client is used, different color matching results may be obtained if clients use different CMMs. Furthermore, when the user has no CMM, color matching cannot be done. Hence, upon downloading an HTML document on the server designated by the user, the HTML document is interpreted by a WWW browser, and when the HTML document contains a link for downloading a CMM program, the CMM program is downloaded via the network.

Abstract: An object of the present invention is to realize to excellently perform a color matching process among media having different white points. To achieve the above object, a colorimetry value of a sample is corrected on a human's color perception space on the basis of a media white point in case of creating transformation data used in transformation performed between data on a color space depending on a device and data on a color space not depending on a device, and the transformation data is created on the basis of the corrected colorimetry value.

Abstract: In an information processing method, input color data indicating a plurality of color components including a black color component is converted into output color data that indicates a plurality of color components including a black color component. A relationship between lightness levels and simple black colors is determined for an output device based on the characteristics of the output device. When input color data indicates a simple black color, output color data for the simple black color having a lightness level equivalent to the lightness level of the input color data is determined based on the relationship between lightness levels and simple black colors.

Abstract: In color matching among media having different white points or different black points, how to address gray balances among media poses a problem. To solve this problem, upon converting a colorimetric value onto a color space that connects profiles, gray-balance correction is made on the human color perception space on the basis of a media white point and gray-balance black point.