Canon Kabushiki Kaisha

Pfu Limited

Akira Kubota

Nobukazu Yoshida

Hiroyuki Ogino

Yuichi Nakase

Shigeo Ogawa

Yasutaka Naka

Yuuichi Komuro

Shinya Abe

Koji Kitamura

Kotaro Tsukuda

Shigeru Miki

Toshikuni Hamano

Subjects are detected in a captured image and a main subject is selected from the detected subjects. Focusing areas are set up that correspond to the detected subjects and focus detection is performed in the focusing areas that have been set up. When providing in-focus indication representing focus detection results, focus detection results associated with the particular focusing area among the focusing areas that corresponds to the main subject are displayed in a manner different from focus detection results associated with those focusing areas within the depth of field that correspond to subjects other than the main subject.

Image capturing apparatus and control method therefor

The present invention enables automatic generation of an image in which only an impressive color is kept, without requiring a complicated operation. A digital cameradivides an image obtained by an imaging unitinto regions based on color information and luminance information, and determines a characteristic object in accordance with a characteristic degree of each region into which the image is divided. Further, a region for keeping a color is set in which the color of the characteristic object is to be kept. A color conversion process is then performed so as to keep the color of the characteristic object in the region for keeping a color, and to change colors of the other regions to an achromatic color.

Image processing apparatus, method and program

An information processing device according to one aspect of the present invention has a plurality of data transfer units and includes a data transfer monitoring unit to monitor whether or not a data transfer is executable by a first data transfer unit in the plurality of data transfer units and a data transfer inhibiting unit to inhibit, based on monitoring of the data transfer monitoring unit, the data transfer of a second data transfer unit different from the first data transfer unit in the plurality of data transfer units while the data transfer is executable by the first data transfer unit.

Information processing device to prevent information from being leaked out

An image capturing apparatus comprises a capturing unit which captures an image; a detection unit which detects an object from the captured image; a generating unit which generates a luminance distribution of the captured image; a calculating unit which calculates, based on the luminance distribution, an exposure amount used when performing autoexposure bracketing that captures a plurality of images at different exposures; a determining unit which determines whether or not to perform the autoexposure bracketing using the calculated exposure amount; and a correcting unit which corrects the calculated exposure amount based on feature information of the object detected by the detection unit.

Image capturing apparatus, executable autoexposure bracketing and control method thereof

An image capture apparatus that carries out exposure control by driving an aperture includes: an image sensor, including multiple pixels, that accumulates and transfers charges per predetermined pixel group; a determination unit that determines an image region in the image sensor that serves as a region from which to output image data for recording or image data for display; and a control unit that drives the aperture within a period in which charge accumulation for the image data for recording or the image data for display is not being carried out for the pixels included in the image region determined by the determination unit.

Image capture apparatus and control method thereof

A low-frequency region of an output target image is specified. Luminance correction is performed with the target amount decided in advance for a pixel, among pixels included in the target image, which is included in the low-frequency region and has a luminance value equal to or smaller than a predetermined value, and the target image after the correction is output. Then, an effective correction amount is obtained based on the luminance distribution of the target image before the correction and the luminance distribution of the target image after the correction, which has been corrected with the target amount decided in advance. A luminance correction target amount for the next correction target image is decided based on the luminance distribution of the target image and the ratio of the effective correction amount to the target amount decided in advance.

Image capturing apparatus for luminance correction, a control method therefor, and a recording medium

An image pickup apparatus that is capable of reducing variation in the color temperature of a subject in a taken image and capable of shooting a more suitable image. The image pickup apparatus can shoot with emitting a light emitting unit. A color temperature acquisition unit acquires information about a color temperature of a light illuminating a subject. An emission control unit controls emission of the light emitting unit. The emission control unit determines emission light amount of the light emitting unit based on a color temperature difference between a color temperature of an illumination light of the light emitting unit and a color temperature based on the information acquired by the color temperature information acquisition unit.

Image pickup apparatus and controlling method therefor

Receiving an instruction from a user to start sensing a still image, an image sensing apparatus performs scene determination based on an evaluation value of scene determination from an image sensed immediately after the luminance of the image converges to a predetermined range of a target luminance. The image sensing apparatus can accurately determine a scene of the image even the image sensor with a narrow dynamic range.

Image sensing apparatus and method for controlling the same

An image processing apparatus and an image processing method that enable suitable contrast adjustment are provided. The image processing apparatus includes a region detection unit configured to detect predetermined first luminance level detection region and second luminance level detection region in a human face as a target to be photographed, a luminance amount calculation unit configured to calculate an absolute value of a difference between a luminance level of the first luminance level detection region and a certain reference luminance level as a high luminance amount and calculate an absolute value of a difference between a luminance level of the second luminance level detection region and the reference luminance level as a low luminance amount, and a determination unit configured to determine whether a difference or a ratio between the high luminance amount and the low luminance amount falls within a certain range.

Image processing apparatus and image processing method

An apparatus includes an imaging unit to capture an image of an object, a selection unit to select one of a plurality of shooting modes of the imaging unit, a recording unit to record the captured image onto a recording medium, a switching unit to switch between a reproduction mode in which recorded image data is read out and displayed on a display device, and a shooting processing mode in which shooting processing is performed in the selected shooting mode and a reproduction control unit to cause the display device to display the read out image data. When the switching unit switches the mode to the reproduction mode, the reproduction control unit changes an operation that can be instructed in the reproduction mode according to the selected shooting mode.

Camera and control method of camera

An apparatus includes a storage unit configured to classify pixels existing inside a tracking target area set on an image and pixels existing outside the tracking target area according to an attribute and to store a result of classification of the pixels on a storage medium, a first derivation unit configured to derive a first ratio of the pixels existing inside the tracking target area and having the attribute to the pixels existing outside the tracking target area and having the attribute, a second derivation unit configured to derive a second ratio of pixels, whose the first ratio is higher than a first predetermined value, to all pixels existing inside the tracking target area, and a determination unit configured, if the second ratio is higher than a second predetermined value, to determine that the tracking target area can be tracked.

Classifying pixels for target tracking, apparatus and method

An apparatus includes a storage unit configured to store an attribute of each pixel existing inside a tracking target area set on an image and an attribute of a pixel existing adjacent to the pixel, an allocation unit configured to allocate an evaluation value to a pixel to be evaluated according to a result of comparison between an attribute of the pixel to be evaluated and an attribute of a pixel existing inside the tracking target area and a result of comparison between an attribute of a pixel existing adjacent to the pixel to be evaluated and an attribute of a pixel existing adjacent to the pixel existing inside the tracking target area, and a changing unit configured to change the tracking target area based on the allocated evaluation value.

Histogram-based object tracking apparatus and method

An image sensing apparatus executes a plurality of tone corrections respectively suited to different luminance distributions of images. The image sensing apparatus analyzes a luminance distribution of sensed image data, selects, based on an analysis result, at least one of a first tone correction which suppresses luminance saturation of image data, a second tone correction which converts luminance values of all luminance regions so that a maximum luminance value of sensed image data becomes a largest possible luminance value of the image data, and a third tone correction which multiplies a luminance value of a low-luminance region, which is set in advance, of sensed image data by a gain larger than gains of other luminance regions, as a tone correction to be implemented for sensed image data, and limits, when a correction based on the second tone correction is selected, implementation of a correction based on the third tone correction.

Image sensing apparatus and image processing method

The present invention provides a tracking apparatus for tracking a target designated on an image which is captured by an image sensing element, including a calculation unit configured to calculate, for each of feature candidate colors, a first area of a pixel group which includes a pixel of a feature candidate color of interest and in which pixels of colors similar to the feature candidate color of interest continuously appear, a second area of pixels of colors similar to the feature candidate color of interest in the plurality of pixels, and a ratio of the first area to the second area, and an extraction unit configured to extract a feature candidate color having the smallest first area as a feature color of the target from feature candidate colors for each of which the ratio of the first area to the second area is higher than a predetermined reference ratio.

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Yokohama, Japan

Akira Kubota