Abstract: A hand region is detected in a captured image, and for each part of the background area, a light source presence degree indicating the probability that a light source is present is determined according to the luminance or color of that part; on the basis of the light source presence degree, a region in which the captured image is affected by a light source is estimated, and if the captured image includes a region estimated to be affected by a light source, whether or not a dropout has occurred in the hand region in the captured image is decided; on the basis of the result of this decision, an action is determined. Gesture determinations can be made correctly even when the hand region in the captured image is affected by a light source at the time of gesture manipulation input.

Abstract: A hand region is detected in a captured image, and for each part of the background area, a light source presence degree indicating the probability that a light source is present is determined according to the luminance or color of that part; on the basis of the light source presence degree, a region in which the captured image is affected by a light source is estimated, and if the captured image includes a region estimated to be affected by a light source, whether or not a dropout has occurred in the hand region in the captured image is decided; on the basis of the result of this decision, an action is determined. Gesture determinations can be made correctly even when the hand region in the captured image is affected by a light source at the time of gesture manipulation input.

Abstract: An image processing includes: a unit that calculates a feature amount of main image data; a unit that calculates a feature amount of sub image data or resized sub image data; an adjustment unit that performs image quality adjustment on the resized sub image data so that a difference between a feature amount of the adjusted sub image data and the feature amount of the main image data is smaller than a difference between the calculated feature amount of the sub image data and the feature amount of the main image data; and a unit that generates display image data from the main image data and adjusted sub image data according to display mode information. The sub image data include plural content items. The adjustment unit updates the feature amount of the main image data used in the adjustment, at the timing of change of the content item.

Abstract: An image processing device includes: a calculator that calculates a gray scale histogram for each color component of an image signal; a calculator that calculates, for each color component, a maximum and a minimum of classes having a frequency greater than zero in the gray scale histogram; a determiner that generates, for each color component, a histogram having classes each having an absolute difference value between the frequencies of adjacent classes in the gray scale histogram, and compares the absolute difference values in the histograms with a value to determine, from the presence or absence of an absolute difference value exceeding the value, an image type of the image; a generator that generates a gray scale correction curve from the calculated maximum and minimum for each color component; and a corrector that performs gray scale correction on the image signal using the gray scale correction curve.

Abstract: In an image processing apparatus, maximum values and minimum values of the classes of respective color components are calculated; the largest value among the maximum values of the color components is found as an all-color maximum value, color correction curves are generated, on the basis of the maximum and minimum values of the respective color components and the all-color maximum value, for color components other than the color component whose maximum value is equal to the all-color maximum value, and the color correction curves are used to perform corrections on the respective color components of the image signal. The color correction curves are generated for performing corrections such that, after the corrections, the maximum value of each color component is approximately equal to the all-color maximum value.

Abstract: A hand region is detected in a captured image, and for each part of the background area, a light source presence degree indicating the probability that a light source is present is determined according to the luminance or color of that part; on the basis of the light source presence degree, a region in which the captured image is affected by a light source is estimated, and if the captured image includes a region estimated to be affected by a light source, whether or not a dropout has occurred in the hand region in the captured image is decided; on the basis of the result of this decision, an action is determined. Gesture determinations can be made correctly even when the hand region in the captured image is affected by a light source at the time of gesture manipulation input.

Abstract: A hand region (Rh) of an operator is detected from a captured image, and positions of a palm center (Po) and a wrist center (Wo) are determined, and origin coordinates (Cho) and a direction of an coordinate axis (Chu) of a hand coordinate system are calculated. A shape of the hand in the hand region (Rh) is detected using the hand coordinate system, and a shape feature quantity (D14) of the hand is calculated. Further, a movement feature quantity (D15f) of a finger is calculated based on the shape feature quantity (D14) of the hand. Gesture determination is made based on the calculated feature quantities. Since the gesture determination is made taking into consideration the differences in the angle of the hand placed in the operation region, and the direction in which the hand is moved, misrecognition of the operation can be reduced.

Abstract: In an image processing apparatus, maximum values and minimum values of the classes of respective color components are calculated; the largest value among the maximum values of the color components is found as an all-color maximum value, color correction curves are generated, on the basis of the maximum and minimum values of the respective color components and the all-color maximum value, for color components other than the color component whose maximum value is equal to the all-color maximum value, and the color correction curves are used to perform corrections on the respective color components of the image signal. The color correction curves are generated for performing corrections such that, after the corrections, the maximum value of each color component is approximately equal to the all-color maximum value.

Abstract: An image processing device includes: a calculator that calculates a gray scale histogram for each color component of an image signal; a calculator that calculates, for each color component, a maximum and a minimum of classes having a frequency greater than zero in the gray scale histogram; a determiner that generates, for each color component, a histogram having classes each having an absolute difference value between the frequencies of adjacent classes in the gray scale histogram, and compares the absolute difference values in the histograms with a value to determine, from the presence or absence of an absolute difference value exceeding the value, an image type of the image; a generator that generates a gray scale correction curve from the calculated maximum and minimum for each color component; and a corrector that performs gray scale correction on the image signal using the gray scale correction curve.

Abstract: An image processing includes: a unit that calculates a feature amount of main image data; a unit that calculates a feature amount of sub image data or resized sub image data; an adjustment unit that performs image quality adjustment on the resized sub image data so that a difference between a feature amount of the adjusted sub image data and the feature amount of the main image data is smaller than a difference between the calculated feature amount of the sub image data and the feature amount of the main image data; and a unit that generates display image data from the main image data and adjusted sub image data according to display mode information. The sub image data include plural content items. The adjustment unit updates the feature amount of the main image data used in the adjustment, at the timing of change of the content item.

Abstract: An image display apparatus is for correcting an input image signal and displaying an image on a display unit based on the corrected image signal, and includes: an illuminance detector for sequentially detecting illuminance values around the apparatus; an illuminance analyzer for sequentially outputting image settings for correction of the image signal depending on the detected illuminance values; a setting selector for outputting an image setting which has been output from the analyzer a number of times greater than a number of times any other image setting has been output, or an image setting determined by the statistic of the image settings output from the analyzer; and a setting application unit for changing the image setting used to correct the image signal to be equal to the image setting output from the selector, when a predetermined change occurs in the input image signal or when a predetermined time has come.

Abstract: An image processing apparatus is obtained which is capable of performing gray-level correction while maintaining real-time property and accurately recognizing the feature of content obtained from an image signal. A luminance information detecting block detects a luminance information value about individual pixels from a luminance signal contained in an image signal. On the basis of the luminance information value, a content feature detecting block determines the feature of one frame of the video content, and obtains a content feature judge information value. On the basis of the content feature judge information value, a multiple content feature detecting block detects the feature of multiple frames of the video content, and outputs a multiple content feature judge information value to an image quality adjustment control block in an image quality adjusting block.

Abstract: A display device according to the present invention includes a display which is provided on a front surface of the display device and is a display surface on which images are displayed, an illuminance sensor which is provided on a rear surface of the display device and is a first measuring unit measuring illuminance on the rear surface, and a control unit which is a first control unit controlling brightness of the images displayed on the display.

Abstract: An image display apparatus is for correcting an input image signal and displaying an image on a display unit based on the corrected image signal, and includes: an illuminance detector for sequentially detecting illuminance values around the apparatus; an illuminance analyzer for sequentially outputting image settings for correction of the image signal depending on the detected illuminance values; a setting selector for outputting an image setting which has been output from the analyzer a number of times greater than a number of times any other image setting has been output, or an image setting determined by the statistic of the image settings output from the analyzer; and a setting application unit for changing the image setting used to correct the image signal to be equal to the image setting output from the selector, when a predetermined change occurs in the input image signal or when a predetermined time has come.

Abstract: A display device according to the present invention includes a display which is provided on a front surface of the display device and is a display surface on which images are displayed, an illuminance sensor which is provided on a rear surface of the display device and is a first measuring unit measuring illuminance on the rear surface, and a control unit which is a first control unit controlling brightness of the images displayed on the display.

Abstract: An image processing apparatus is obtained which is capable of performing gray-level correction while maintaining real-time property and accurately recognizing the feature of content obtained from an image signal. A luminance information detecting block detects a luminance information value about individual pixels from a luminance signal contained in an image signal. On the basis of the luminance information value, a content feature detecting block determines the feature of one frame of the video content, and obtains a content feature judge information value. On the basis of the content feature judge information value, a multiple content feature detecting block detects the feature of multiple frames of the video content, and outputs a multiple content feature judge information value to an image quality adjustment control block in an image quality adjusting block.