Konica Corporation

Konica-minolta Holdings, Inc.

Konishiroku Photo Industry Co., Ltd.

Konica Minolta Photo Imaging, Inc.

Konica Minolta Opto, Inc.

Tsukasa Ito

Hiroaki Takano

Takeshi Nakajima

Chizuko Ikeda

Satoshi Kawakatsu

Akira Onishi

Shoichi Nomura

Tsuyoshi Hattori

Daisuke Sato

Takehiko Shoji

Jun Minakuti

Kiyokazu Morita

Yoshihiko Suda

Fumie Fukazawa

Hideyuki Kobayashi

Tsuyoshi Mitsuhashi

Shinsaku Nagaoka

Kouji Miyawaki

Yusuke Kawahara

Masayo Takekoshi

Masayo Ishikawa

An image processing method includes the steps of: obtaining image data formed by signals of a plurality of pixels expressing a color image; discriminating a photographic scene of an image from the image data; determining a gradation correction method based on a result of discriminating a photographic scene; determining a first gradation correction amount based on a result of discriminating a photographic scene; detecting a face area in an image of the image data and calculating a face detection reliability; determining a second gradation correction amount based on an average luminance of the face area; determining a third gradation correction amount by weighted averaging the first gradation correction amount and the second gradation correction amount based on the face detection reliability; and applying a gradation correction process to the image data by using the third gradation correction amount and the gradation method.

Image processing method, image processing device, and image processing program

There are described image-processing method and apparatus, which make it possible to reduce the processing load even in the image-processing environment employing the Dyadic Wavelet transform. The apparatus includes a reading section to read an image recorded on a recording medium so as to generate image signals representing the image; a first converting section to apply a multi-resolution conversion processing of at least level 1, which is capable of reducing an image size of the image signals, to the image signals, so as to generate first-converted image signals from the image signals; and a second converting section to apply a Dyadic Wavelet transform of at least level 1 to low frequency band component signals included in the first-converted image signals, so as to generate second-converted image signals from the first-converted image signals. An image size of the first-converted image signals is smaller than that of the image signals.

Method and apparatus for processing image signals by applying a multi-resolution conversion processing for reducing the image size and applying a dyadic wavelet transform

An image processing apparatus for converting photographed image data representing a scene luminance into visual image data representing a visual image, comprises a data analyzing section to obtain a viewing condition to view a visual image, to analyze the photographed image data, and to obtain an image converting condition and a viewing condition parameter for a color management employing a color appearance model on the basis of the analysis result of the photographed image data and the viewing condition for the visual image; an image converting section to convert the photographed image data on the basis of the image converting condition obtained by the data analyzing section so as to produce the visual image data; and a formatting section to attach the viewing condition parameter to the visual image data produced by the image converting section and to output the visual image data attached with the viewing condition parameter.

Image-processing apparatus, image-capturing apparatus, image-processing method and image-processing program

There is described an image-processing apparatus, which makes it possible to compensate for the defect pixel without causing a sense of incongruity in the image. The apparatus includes an image signal acquiring section to acquire the image signals representing an image recorded on a recording medium, a recognizing section to recognize a presence or absence of a defect pixel possibly included in the image signals and a compensating section to compensate for the defect pixel. The compensating section compensates for the defect pixel so that first order differential values of image signals of the defect pixel and those of non-defect pixels adjacent to the defect pixel continue to each other. The compensating section applies a multi-resolution conversion processing to the image signals so as to decompose them into high frequency band components and a low frequency band component, signal intensities of which are compensated for.

Image-processing apparatus, image-processing method, image-processing program and image-recording apparatus

An image processing method for subjecting captured-image data outputting from an image-capturing device to an optimization processing for appreciation to produce viewing image referred image data. The image processing method has the step of conducting a pre-processing before the optimization processing is carried out, wherein the pre-processing includes the transformation of the frequency characteristic of the captured-image data into the scene-referred frequency characteristic by removing the effect of a frequency characteristic specific to the image-capturing device from the frequency characteristic of the captured-image data.

Image processing method, image processing apparatus, image recording apparatus, program, and recording medium

There is described an image-capturing apparatus, which has plural kinds of image sensors, sensitivities of which are different relative to each other, for recording wide dynamic range image data, and an image processing apparatus for applying optimization processing to the wide dynamic range image data. The image capturing apparatus includes a scene-referred raw data generating section to generate scene-referred raw data sets; a scene-referred image data synthesizing section to synthesize scene-referred image data; a synthesizing-information data generating section to generate synthesizing-information data; an output-referred image data generating section to generate output-referred image data by applying an optimization processing to the scene-referred image data; a differential data generating section to generate differential data between the scene-referred image data and the output-referred image data; and a controlling section to store the output-referred image data attached with the synthesizing-information data and the differential data into a storage medium.

Image-capturing apparatus, image processing apparatus and image recording apparatus

An image processing method, having the steps of: transforming color image signals representing an original image into a luminance signal and color difference signals; transforming the luminance signal and the color difference signals separately into multi-resolution signals of the levelto the level N; applying an inverse multi-resolution transform to the color difference multi-resolution signals, after suppressing the high-frequency components of the levelof the color difference multi-resolution signals; applying an inverse multi-resolution transform processing to the luminance multi-resolution signals, after applying a coring processing using a condition for each level different from other levels to the high-frequency signals of each level of the luminance multi-resolution signals; transforming the processed luminance signal and the processed color difference signals into a set of processed color image signals.

Image processing method, apparatus, and program

There are described an image processing method, an image processing apparatus, an image processing program and an image recording apparatus characterized by reduced computation loads and capable of suppressing the mottled granular noise contained in color image signals and enhancing the sharpness of the image, without generating noises similar to color misregistration and false color contour appearing close to the edge. The image processing method includes the steps of: converting the image signals to luminance signals and chrominance signals; applying a Dyadic Wavelet transform processing to at least the luminance signals; suppressing a signal intensity of a high-frequency luminance component at P-th level, when the intensity of the high-frequency luminance component conforms to a specific condition; applying a Dyadic Wavelet inverse-transform processing to transformed and processed signals; and synthesizing processed luminance signals and the chrominance signals with each other to generate processed image signals.

Image processing method, image processing apparatus, image processing program and image recording apparatus

A method of applying an image processing to two dimensionally-arranged original image data corresponding to an entire image region of a photographed image including a main photographed-subject; comprising steps of determining a main photographed-subject region of the main photographed-subject or a selected region by at least one on the two dimensionally-arranged original image data; setting the entire image region and one of the main photographed-subject region and the selected region as target regions for an image processing; obtaining image characteristics from each of the target regions; calculating a granularity value and a sharpness value for each of the target regions from the respective image characteristics of the target regions, wherein each of the granularity value and the sharpness value is an evaluation criterion standardized with a functional value; and conducting an image processing for the two dimensionally-arranged original image data with reference to the granularity value and the sharpness value.

Image processing method, storage medium, image processor and image recorder

An image processing method for obtaining processed color image signals from image signals on a silver halide photosensitive material, having the following steps: transforming color image signals into a luminance signal and color information signals; applying a high-frequency component suppression processing to the color information signals; decomposing the luminance signal into a luminance low-frequency component signal, a luminance medium-frequency component signal, and a luminance high-frequency component signal; applying a processing, in accordance with requirement, to the luminance low-frequency component signal; applying a suppression processing to the luminance medium-frequency component signal; applying an emphasis processing to the luminance high-frequency component signal; composing a processed luminance signal through combining the processed luminance low-frequency component, the processed luminance medium-frequency component signal, and the processed luminance high-frequency component signal; and transforming the processed luminance signal and the processed color information signals into a set of processed color image signals.

Image processing method and apparatus

An image processing method to conduct an image processing on image signals indicating an image obtained through photographing by a photographing apparatus for generating image signals for output. The image processing method has a determining process to determine a content of image processing to be conducted on the image signals based on information about environment light in the course of photographing, information about flashlight in the course of photographing, and on at least one of information about zoom magnification in the course of photographing and information about ISO speed.

Image processing method, image processing apparatus and image recording apparatus

An image processing method to conduct an image processing on image signals indicating a photographed image for generating image signals for output, having the steps of: detecting an area in the photographed image where the mixed ratio of flashlight to environment light in the course of photographing is greater than a prescribed value, based on respective information including information about environment light in the course of photographing, information about flashlight in the course of photographing, and at least one of information about zoom magnification in the course of photographing, information about ISO speed and information about a subject distance in the course of photographing; and determining a content of image processing in accordance with a ratio of the area detected to the total area of the photographed image.

A silver halide photographic material is disclosed comprising a blue-sensitive silver halide unit containing a yellow coupler, a green-sensitive silver halide unit containing magenta coupler, and a red-sensitive silver halide unit containing a cyan coupler, wherein a coefficient of utilization of an oxidation product of a color developing agent in a maximum density area of the blue-sensitive unit is not less than 80%, that of the green-sensitive unit is 30 to 75% and that of the red-sensitive unit is not less than 80%.

Silver halide photographic material

A heat-developable light-sensitive element is disclosed. The element comprises a non-light-sensitive organic silver salt and a light-sensitive silver halide and an average radius r of the sphere of influence is from 0.35 &mgr;m to 10 &mgr;m when the element is exposed to light of from 35 &mgr;J/cm to 50 &mgr;J/cm and developed by a developing drum at a temperature of 123&deg;&plusmn;3&deg; C. for a time of 16&plusmn;3 seconds.

Heat-developable light-sensitive element

A color image forming method is disclosed, comprising developing a silver halide photographic material and bleach and/or fixing the photographic material, wherein the color image is formed in the presence of a dextran. The dextran may be incorporated in the photographic material or a processing solution.

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Musashino, Japan

Tsukasa Ito