Canon Kabushiki Kaisha

Nobuhiko Tamura

Koshi Hatakeyama

Tsunefumi Tanaka

Takayuki Hara

Yuji Sakaegi

Hideyasu Tashiro

An image capturing apparatus of the present invention includes a display unit that displays an image obtained from an image capturing unit, the image capturing unit being a plenoptic image capturing unit capable of acquiring multi-viewpoint images having different viewpoints is provided. The image capturing apparatus includes: a disparity amount deriving unit that derives a disparity amount of the multi-viewpoint images in relation to a subject; a focus area specifying unit that specifies a subject area in which the derived disparity amount is equal to or smaller than a predetermined threshold as a focus area; and a display control unit that displays the specified focus area on the display unit in a manner different from an area other than the focus area.

Image capturing apparatus, method for controlling image capturing apparatus focus area display, and storage medium

Conventional calculation of light source data requires a high load and is unstable. An information processing device derives light source data which represents a state of a light source of an image represented by a captured image based on image capturing condition data at the time of capturing the image of a subject.

Information processing device, information processing method, and program for light source estimation

An image processing device for generating a composite image using multi-viewpoint image data before color interpolation captured by a camera array image capturing device, includes a unit configured to acquire information of a pixel value and a pixel position in the multi-viewpoint image data, a pixel position determination unit configured to determine the pixel position in the composite image in the pixel position of each pixel of the multi-viewpoint image data in accordance with an arbitrary focus position based on optical parameters at the time of the image capturing, a color derivation unit configured to derive the color of each pixel of the multi-viewpoint image data, and a pixel value calculation unit configured to calculate the pixel value of each pixel of the composite image using the determined pixel position in the composite image and the pixel value of the multi-viewpoint image data corresponding to the derived pixel color.

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

An image processing method includes inputting input image data captured by an imaging unit, generating an input histogram of the input image data based on the input image data, and correcting the input image data based on noise characteristics data and the input histogram, wherein the noise characteristics data includes data indicating probability of a first characteristic value becoming a second characteristic value due to noise.

Image processing apparatus, image processing method, and program

A capturing parameter and a capturing image are obtained by an image capturing device which uses the capturing parameter. Correction data, which corresponds to an optical transfer function of the image capturing device derived from the capturing parameter, and a noise amount of the capturing image dependent on the capturing parameter, is acquired to correct a blur of the capturing image. A first degree of correction by the correction data for a high noise amount is less than a second degree of correction by the correction data for a low noise amount.

Information processing apparatus and information processing method for blur correction

To provide an image processing apparatus capable of obtaining a good-quality image even if an unexpected aberration occurs and an image pickup apparatus using the same. An image processing apparatus includes a primary restored image generating module configured to generate a primary restored image by performing image restoration processing on an input image having a plurality of color components, a restoration component generating module configured to generate difference information for each of the plurality of color components by calculating a difference between the input image and the primary restored image, and a secondary restored image generating module configured to generate a secondary restored image using the difference information. The secondary restored image generating module combines a color-combination restoration component based on the difference information for the plurality of color components with one color component of the input image.

Image processing apparatus and image pickup apparatus using same

A blur characteristic of a captured image changes due to demosaicing at the time of blur correction of an image pickup optical system. As a result, favorable blur correction cannot be performed. Pieces of RAW data are input, correction coefficients for correcting a blur of RAW images represented by the pieces of RAW data are obtained with respect to a plurality of colors, the blur of the RAW images represented by the pieces of RAW data is corrected on the basis of the correction coefficients obtained with respect to the plurality of colors, corrected images are obtained, and a demosaic process is performed on the plurality of obtained corrected images, thereby generating output image data.

Image processing apparatus, method, and recording medium

To provide an image processing apparatus capable of obtaining a high-quality image, an image processing apparatus of the present invention includes an image restoration processing unit configured to perform a restoration process on an input image and generate a restored image, a difference information generating unit configured to calculate difference information between the restored image and the input image, an adjustment coefficient setting unit configured to be capable of setting a plurality of different adjustment coefficients for the input image, a correction difference information generating unit configured to generate correction difference information on the basis of the adjustment coefficients and the difference information, and a combining unit to combine the correction difference information with the input image and generate a restoration adjusted image.

Image processing apparatus, and image pickup apparatus using same

An image processor inputs image data from an image capturing device, and acquires blur-correction coefficients corresponding to the state of an imaging optical system which forms an image represented by light coming from an object on the image capturing device. Then, the image processor generates a target component and non-target components of blur correction from the image data, applies blur correction to the target component based on the blur-correction coefficients, and generates image data by synthesizing the target component after the blur correction and the non-target components.

Image processing apparatus and image processing method

Image processing apparatus and method for blur correction

Upon applying a demosaicing process to a photographic image, a display image is generated from the photographic image to which the demosaicing process is applied, and an instruction indicating a reference region on the display image, and an adjustment instruction of parameters for a development process are input. Then, an image region having a high correlation with the reference region is extracted as a similar region, and display images of the reference region and similar region are generated by applying the parameters for the development process to the photographic image before the demosaicing process, which corresponds to the reference region, and that before the demosaicing process, which corresponds to the similar region.

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Tokyo, Japan

Nobuhiko Tamura