Abstract: To perform image correction according to the features of an input image and output a fine and conspicuous image corresponding to a variety of scenes; an image correcting apparatus detects, from the pixels of the input image, the dark pixels that have the respective pixel values equal to or smaller than a first threshold value. Then, for each dark pixel having the pixel value equal to or smaller than the first threshold value, the image correcting apparatus detects calculates the shading variation between the dark pixel and the corresponding surrounding pixels, calculates a correction amount based on the calculated shading variation, and performs image correction with the calculated correction amount.

Abstract: An image processing device includes a dividing unit which divides a brightness histogram of an input image into a plurality of value regions according to gradation, a ratio computing unit which computes the number of pixels of each value region divided by the dividing unit and the number of pixels of the input image, respectively, and computes a ratio or a magnitude relation of the number of pixels of each value region with respect to the number of pixels of the input image, and a control-point computing unit which computes a control point, which specifies a shape of a correction curve for image correction according to a feature of the input image, based on the ratio or the magnitude relation of each value region computed by the ratio computing unit.

Abstract: An image correction apparatus stores therein a plurality of correction curves for determining a correction amount, calculates a feature value of average brightness in an input image, determines whether the calculated feature value is equal to or greater than a first threshold, and, for the input bright image with the feature value equal to or greater than the first threshold, counts the number of pixels equal to or less than a second threshold in the input image. The image correction apparatus calculates a feature value of average brightness from pixel values of the counted pixels, on a basis of whether the calculated feature value is equal to or greater than a third threshold, or, whether the number of pixels equal to or greater than the third threshold is a fourth threshold or more, obtains a correction curve to correct the input image.

Abstract: An image processing device includes a storage unit that stores dictionary information; a generating unit that extracts, from an input image, a plurality of characteristic point candidates, and generates a plurality of combinations that each include a plurality of characteristic point candidates; a removing unit that removes, for each of the combinations, at least one characteristic point candidate based on at least one of the dictionary information and information obtained by analyzing the input image; and a determining unit that acquires, for each of the combinations, results of matching the dictionary information with the combination of which the at least one characteristic point candidate has been removed, selects a combination of characteristic point candidates based on the acquired matching results, and determines, as the characteristic points, the plurality of characteristic point candidates included in the selected combination.

Abstract: An image processing apparatus calculates luminances for pixels that make up an image and calculates the average luminance of the calculated luminances. From among pixels of the calculated luminances, the image processing apparatus identifies each of the luminances that has a value equal to or greater than a distinguishing value and calculates a bright-portion ratio of the identified luminance in the image. The image processing apparatus creates a luminance histogram and calculates a distribution value indicating a distribution level of the luminance distribution in a region corresponding to a luminance having a value equal to or greater than the distinguishing value in the created luminance histogram. The image processing apparatus determines whether the average luminance is equal to or less than a first threshold, whether the bright-portion ratio is equal to or greater than a second threshold, and whether the distribution value is equal to or greater than a third threshold.

Abstract: A display apparatus includes a light control unit that changes the light transmittance or the reflectance with respect to each pixel; a plurality of light sources that irradiates light to the light control unit; a light-emission distribution calculating unit that calculates a light emission distribution when the light sources illuminate with respective set light emission intensities based on light-emission pattern data of the respective light sources that are preliminarily stored; a brightness comparing unit that compares the brightness in the light emission distribution calculated by the light-emission distribution calculating unit and the brightness of an image of a display object; and an adjustment-amount determining unit that determines an adjustment amount of the light emission intensity of each light source based on a comparison result by the brightness comparing unit.

Abstract: An image processing apparatus includes an analysis processing unit that quantizes an input image in two levels by replacing an area of the input image where a feature of a subject appears with a first pixel value and replacing an area of the input image where no feature of the subject appears with a second pixel value when the input image is acquired; a storing unit that stores dictionary data including a feature of a plurality of face images quantized by the analysis processing unit; and a face detection processing unit that performs face detection on a detection target image by using the dictionary data read from the storing unit, the detection target data being quantized by the analysis processing unit.

Abstract: An image processing apparatus includes a conversion unit that converts an input image into a plurality of frequency components; a first quantization threshold calculating unit that calculates a first quantization threshold corresponding to a first frequency component among the plurality of frequency components of the input image converted by the conversion unit, based on a statistic value of the first frequency component; a second quantization threshold calculating unit that calculates a second quantization threshold corresponding to a second frequency component other than the first frequency component among the plurality of frequency components, based on the first quantization threshold calculated by the first quantization threshold calculating unit; and a quantization unit that quantizes the first frequency component and the second frequency component by using the first quantization threshold and the second quantization threshold, respectively.

Abstract: An image processing apparatus includes a storing unit that stores dictionary data including information on a feature area that indicates an area where a feature of a subject appears; and a subject determination unit that compares, when an input image is acquired, the feature area of the dictionary data with an area of the input image corresponding to the feature area of the dictionary data, to determine whether the input image includes the subject.

Abstract: An image processing device includes a dictionary data storage unit to store dictionary data regarding features that a plurality of objects has, an arithmetic unit to compute feature data of an input image based on information of the input image that includes an object with a specific feature among the plurality of objects, and a calculation unit to calculate a parameter for adjusting the dictionary data regarding the object with the specific feature based on the feature data and the dictionary data.

Abstract: An image processing device includes a dividing unit which divides a brightness histogram of an input image into a plurality of value regions according to gradation, a ratio computing unit which computes the number of pixels of each value region divided by the dividing unit and the number of pixels of the input image, respectively, and computes a ratio or a magnitude relation of the number of pixels of each value region with respect to the number of pixels of the input image, and a control-point computing unit which computes a control point, which specifies a shape of a correction curve for image correction according to a feature of the input image, based on the ratio or the magnitude relation of each value region computed by the ratio computing unit.

Abstract: An image correction apparatus calculates a feature value indicative of an average brightness of an input image from the pixel values of the input image and determines a pixel value at a boundary for correcting each pixel of the input image to make it brighter or darker by using the calculated feature value of the input image. The image correction apparatus calculates, with respect to the pixel value of each pixel of the input image, an area for determining a contrast correction amount for a pixel value smaller than the pixel value at the determined boundary such that a pixel is to be made darker and calculates an area for determining a contrast correction amount for a pixel value larger than the pixel value at the determined boundary such that a pixel is to be made brighter, thereby correcting the contrast of the input image by using the calculated areas.

Abstract: An image correction apparatus stores therein a plurality of correction curves for determining a correction amount, calculates a feature value of average brightness in an input image, determines whether the calculated feature value is equal to or greater than a first threshold, and, for the input bright image with the feature value equal to or greater than the first threshold, counts the number of pixels equal to or less than a second threshold in the input image. The image correction apparatus calculates a feature value of average brightness from pixel values of the counted pixels, on a basis of whether the calculated feature value is equal to or greater than a third threshold, or, whether the number of pixels equal to or greater than the third threshold is a fourth threshold or more, obtains a correction curve to correct the input image.

Abstract: To perform image correction according to the features of an input image and output a fine and conspicuous image corresponding to a variety of scenes; an image correcting apparatus detects, from the pixels of the input image, the dark pixels that have the respective pixel values equal to or smaller than a first threshold value. Then, for each dark pixel having the pixel value equal to or smaller than the first threshold value, the image correcting apparatus detects calculates the shading variation between the dark pixel and the corresponding surrounding pixels, calculates a correction amount based on the calculated shading variation, and performs image correction with the calculated correction amount.