Abstract: An image processing device of the present application includes an image acquisition unit, a slope generation unit, and a slope correction unit. The image acquisition unit takes in an image data generated by an imaging element. The slope generation unit generates a slope correction data correcting, in a slope-shape, a signal irregularity caused in the image data due to a manufacturing process of the imaging element. The slope correction unit corrects the signal irregularity within the image data using the slope correction data.

Abstract: An image processing apparatus includes: a gradation conversion unit that executes gradation conversion processing based upon gradation conversion features assuming a slope that changes at a predetermined brightness level, on a component representing a brightness of an image in a color space expressed with the component representing the brightness and a component representing a color depth; and a modulation unit that executes modulation processing on the component representing the color depth by multiplying the component representing the color depth by modulation features, wherein: the modulation features are set so as to assume values equal to or less than 1 over at least part of a brightness range above the predetermined brightness level.

Abstract: A gradation correction characteristics evaluation device includes: a histogram creation unit that creates a histogram based upon pixel values indicated at pixels constituting an input image; and an evaluation unit that evaluates gradation correction characteristics, which is used to correct gradation of the image, based upon the histogram of the image having been created by the histogram creation unit and the gradation correction characteristics.

Abstract: An image processing device includes: a face detection unit that detects a face region of a person from an image formed by a plurality of pixels; and a scene judgment unit that judges a scene of the image according to a pixel value of the face region of the person detected by the face detection unit and a pixel value of a nonface region excluding the face region in the image.

Abstract: A digital camera includes: a photometering unit that measures brightness of a photographic field by dividing the field into a plurality of areas; a reference value calculation unit that calculates, a first value to be used to determine exposure conditions for a photographing operation based upon photometering results provided by the photometering unit and also calculates a second value to be used to set gradation conversion characteristics in conformance to which gradation correction is to be executed on a photographic image photographed based upon the results; an exposure condition determining unit that determines the conditions for the operation based upon the first value; a gradation conversion characteristics setting unit that sets the characteristics based upon the second reference value; and an image processing unit that executes image processing including gradation conversion executed by using the gradation conversion characteristics on the photographic image obtained under the conditions via an imagin

Abstract: An image processing device includes: a parameter calculation unit that obtains a plurality of values based on a plurality of different conversion parameters for a pixel in image data; a weighting unit that performs predetermined weighting on the plurality of values obtained by the parameter calculation unit; and a gradation correction unit that performs gradation correction of the image data based on a result of the weighting by the weighting unit.

Abstract: An image processing apparatus includes a brightness fluctuation extraction section, a color difference fluctuation extraction section, a conversion section, and an addition section. The brightness extraction section extracts a local fluctuation component from brightness information (hereinafter, a brightness fluctuation) in the image data. The color difference fluctuation extraction section extracts a local fluctuation component from color difference information (hereinafter, a color difference fluctuation) in the image data. The conversion section weightedly adds the color difference fluctuation and the brightness fluctuation to generate a pseudo texture component. The addition section adds the generated texture component to the brightness information. In the above-described structure, the conversion section adjusts and changes a weighting ratio of the weighted addition so as to make ratios of noises of color components included in the texture component substantially equal.

Abstract: An image processing device extracts a local variation component from color information in image data. Using the variation component of the color information, a pseudo-texture component of brightness information is produced. The thus produced pseudo-texture component is added to the brightness information. By this image processing, an image having improved texture is produced.

Abstract: An image processing device changes degree of noise reduction for image data in accordance with tone correction to be performed according to the image data and includes a change rate acquisition part and a noise reduction part. The change rate acquisition part obtains, at a plurality of portions in the image data, a change rate of a signal level of the image data before and after tone correction. The noise reduction part controls a degree of noise reduction for each portion in the image data according to the change rate.

Abstract: Image-processing devices and methods are disclosed. Such a device includes an image-input unit, a fluctuation-extraction unit, a modulation-signal-generation unit, a level-compression unit, and a gradation-correction unit. The image-input unit inputs an image. The fluctuation-extraction unit extracts a local-fluctuation component from the input image and generates a local-fluctuation image containing a fluctuation component. The modulation-signal-generation unit produces a modulation signal used for modulating the input image to a local-fluctuation image. The level-compression unit level-compresses the modulation signal. The gradation-correction unit modulates the input image according to the modulation signal after level-compression, thereby producing a gradation-corrected image.

Abstract: An image processing apparatus includes: a gradation conversion unit that executes gradation conversion processing based upon gradation conversion features assuming a slope that changes at a predetermined brightness level, on a component representing a brightness of an image in a color space expressed with the component representing the brightness and a component representing a color depth; and a modulation unit that executes modulation processing on the component representing the color depth by multiplying the component representing the color depth by modulation features, wherein: the modulation features are set so as to assume values equal to or less than 1 over at least part of a brightness range above the predetermined brightness level.

Abstract: An image processing device of the present application includes an image acquisition unit, a slope generation unit, and a slope correction unit. The image acquisition unit takes in an image data generated by an imaging element. The slope generation unit generates a slope correction data correcting, in a slope-shape, a signal irregularity caused in the image data due to a manufacturing process of the imaging element. The slope correction unit corrects the signal irregularity within the image data using the slope correction data.

Abstract: A digital camera includes: a photometering unit that measures brightness of a photographic field by dividing the field into a plurality of areas; a reference value calculation unit that calculates, a first value to be used to determine exposure conditions for a photographing operation based upon photometering results provided by the photometering unit and also calculates a second value to be used to set gradation conversion characteristics in conformance to which gradation correction is to be executed on a photographic image photographed based upon the results; an exposure condition determining unit that determines the conditions for the operation based upon the first value; a gradation conversion characteristics setting unit that sets the characteristics based upon the second reference value; and an image processing unit that executes image processing including gradation conversion executed by using the gradation conversion characteristics on the photographic image obtained under the conditions via an imagin

Abstract: A gradation correction characteristics evaluation device includes: a histogram creation unit that creates a histogram based upon pixel values indicated at pixels constituting an input image; and an evaluation unit that evaluates gradation correction characteristics, which is used to correct gradation of the image, based upon the histogram of the image having been created by the histogram creation unit and the gradation correction characteristics.

Abstract: An image processing apparatus includes a brightness fluctuation extraction section, a color difference fluctuation extraction section, a conversion section, and an addition section. The brightness extraction section extracts a local fluctuation component from brightness information (hereinafter, a brightness fluctuation) in the image data. The color difference fluctuation extraction section extracts a local fluctuation component from color difference information (hereinafter, a color difference fluctuation) in the image data. The conversion section weightedly adds the color difference fluctuation and the brightness fluctuation to generate a pseudo texture component. The addition section adds the generated texture component to the brightness information. In the above-described structure, the conversion section adjusts and changes a weighting ratio of the weighted addition so as to make ratios of noises of color components included in the texture component substantially equal.

Abstract: An image processing device includes: a face detection unit that detects a face region of a person from an image formed by a plurality of pixels; and a scene judgment unit that judges a scene of the image according to a pixel value of the face region of the person detected by the face detection unit and a pixel value of a nonface region excluding the face region in the image.

Abstract: An image processing device includes: a parameter calculation unit that obtains a plurality of values based on a plurality of different conversion parameters for a pixel in image data; a weighting unit that performs predetermined weighting on the plurality of values obtained by the parameter calculation unit; and a gradation correction unit that performs gradation correction of the image data based on a result of the weighting by the weighting unit.

Abstract: An image processing device extracts a local variation component from color information in image data. Using the variation component of the color information, a pseudo-texture component of brightness information is produced. The thus produced pseudo-texture component is added to the brightness information. By this image processing, an image having improved texture is produced.

Abstract: Image-processing devices and methods are disclosed. Such a device includes an image-input unit, a fluctuation-extraction unit, a modulation-signal-generation unit, a level-compression unit, and a gradation-correction unit. The image-input unit inputs an image. The fluctuation-extraction unit extracts a local-fluctuation component from the input image and generates a local-fluctuation image containing a fluctuation component. The modulation-signal-generation unit produces a modulation signal used for modulating the input image to a local-fluctuation image. The level-compression unit level-compresses the modulation signal. The gradation-correction unit modulates the input image according to the modulation signal after level-compression, thereby producing a gradation-corrected image.

Abstract: An image processing apparatus reduces a distortion that occurs at a tile boundary (tile distortion) when an image is compressed or expanded on a tile-by-tile basis. It is equipped with a tone jump detecting section, a slope calculating section, and a slope correcting section. The tone jump detecting section calculates differences between the values of pixels on both sides of the tile boundary and detects a tone jump in the tile distortion according to the differences. The slope calculating section calculates slope-like correction values to be used for causing the tone jump to approach zero in a prescribed length ((prescribed length)<(tile length)), and adds the slope-like correction values to the values of pixels near the tile boundary. As a result, the steep tone jump due to the tile distortion is corrected into a gentle slope-like variation. Tile distortions are reduced properly by this processing.