Canon Kabushiki Kaisha

Nec Lighting, Ltd.

Shin Tanaka

Keiichiro Ishihara

Akinari Takagi

Satoru Komatsu

Hidetoshi Tsubaki

Takahiro Takahashi

Kotaro Ichiyama

Seiichirou Fujioka

Ryousuke Matsuzaki

A distance information generation apparatus includes a generation unit configured to generate distance information using first and second image signals captured from different viewpoints, a detection unit configured to detect a known-shape subject using the image signals, an extraction unit configured to extract, from the distance information generated by the generation unit, distance information corresponding to the subject, a calculation unit configured to calculate, based on the distance information and the shape of the subject detected by the detection unit, a correction parameter for correcting the distance information extracted by extraction unit, and a correction unit configured to correct, using the correction parameter calculated by the calculation unit, the distance information generated by the generation unit.

Image capturing apparatus and method of controlling image capturing apparatus

There is provided a distance detecting apparatus. An acquisition unit acquires a first image captured from a first point of view and a second image captured from a second point of view that is different from the first point of view A selection unit configured to select a representative pixel from the first image, based on a color of an object. A detection unit configured to detect a position in the second image corresponding to the representative pixel and thereby to detect a distance to the object corresponding to the position of the representative pixel.

Distance detecting apparatus, image capturing apparatus, distance detecting method, and storage medium

Provided is a data processing apparatus for calculating confidence coefficient data to indicate a confidence of pixel values of a second image data. The apparatus acquires similarity between a pixel value of a first pixel of the first image data corresponding to a target pixel of the confidence coefficient data, and each pixel value of a plurality of second pixels around the first pixel. The apparatus acquires the confidence coefficient by determining an estimated pixel value in the third pixel of the second image data corresponding to the first pixel, based on the similarity of each of the plurality of second pixels, each pixel value of the plurality of fourth pixels around the third pixel and the pixel value of the third pixel and by comparing the pixel value of the third image and the estimated pixel value in the third pixel.

Data processing apparatus, imaging apparatus and data processing method

An imaging device according to the present invention includes multiple pixels arranged in a row direction and a column direction, which are orthogonal to each other. The multiple pixels include distance measurement pixels each including multiple photo-electric converters arranged so as to be adjacent to each other in the row direction. When M and N denote integers not smaller than one, the pixels are arranged at positions shifted in the row direction for every M-number rows by an amount corresponding to a half of the pixel, color filters are arranged in the row direction in an array of N-number columns per cycle, and the color filters are arranged in the column direction in an array of 2MN-number rows per cycle.

Imaging device and imaging apparatus

An image data processing apparatus includes: an image data acquisition unit for acquiring low resolution image data and high resolution image data; and a confidence data determination unit for determining confidence data which indicates a level of confidence in a pixel value in the high resolution image data. The determination unit determines the level of confidence of a target pixel in the high resolution image data based on a comparison between a first and a second evaluation value. The first evaluation value is determined based on pixel values of neighboring pixels in a pixel position in the low resolution image data corresponding to a pixel position of the target pixel in the high resolution image data. The second evaluation value is determined based on the pixel values of the neighboring pixels, using a method that is different from the first evaluation value.

Image data processing apparatus and image data processing method that determine confidence data indicating a level of confidence in a pixel value in high resolution image data

An image processing apparatus includes: an acquisition unit configured to acquire captured image data and depth map data representing a distribution of depth information of an object acquired from the captured image data; a reduction unit configured to reduce the captured image data acquired by the acquisition unit in accordance with a data amount of the depth map data; and a correction unit configured to correct the depth map data by using the reduced captured image data.

Image processing apparatus and image capturing apparatus

An image processing apparatus has: a depth map acquiring unit configured to acquire a depth map that records information indicating a depth distance corresponding to each point on a photographed image; an in-focus position acquiring unit configured to acquire an in-focus position on the photographed image; a reference distance determining unit configured to acquire a depth distance corresponding to the in-focus position from the depth map and sets the acquired depth distance as a reference distance; and an image processing unit configured to perform image processing on the photographed image by using the depth map and the reference distance.

Image processing apparatus and image pickup apparatus for adding blur in an image according to depth map

An image processing apparatus according to an embodiment of the present invention which performs blurring processing on captured image data based on distance information of a subject includes a dividing unit configured to divide the captured image data into a plurality of image data pieces corresponding to pieces of the distance information different from each other, a generating unit configured to generate a plurality of blurred image data pieces by performing blurring processing on the plurality of divided image data pieces including an occlusion region, and a synthesizing unit configured to synthesize the plurality of blurred image data pieces.

Image processing apparatus, imaging apparatus, and image processing method

An image processing apparatus comprising: an image acquisition unit configured to acquire an image; a depth map acquisition unit configured to acquire a depth map corresponding to the image; a refinement unit configured to detect a saliency region from the image and to refine the depth map on the basis of the saliency region, the saliency region being a region on which a person tends to focus; and an image processing unit configured to apply image processing to the image using the depth map refined by the refinement unit.

Image processing apparatus, image processing method, and imaging apparatus

The image processing apparatus includes an area dividing part that divides an input image produced by an image pickup system into plural image areas whose evaluation values are mutually different. The evaluation value is obtained by using a response function of the image pickup system. The apparatus further includes a processing part that performs image processing to produce an output image whose definition is higher than that of the input image by using the response functions different for the respective image areas.

Image processing apparatus and image pickup apparatus

An image processing apparatus for adding a blur to an image in use of depth information corresponding to the image, comprising: a conversion unit configured to convert the depth information into blur size information; a division unit configured to divide the image into a plurality image areas having a same blur size; an image generation unit configured to perform blur processing on each of the plurality of image areas with the blur size to generate blurred images; and a synthesizing unit configured to synthesize the plurality of blurred images generated by the image generation unit.

Image processing apparatus and image pickup apparatus where image processing is applied using an acquired depth map

An image processing apparatusincludes an image region dividing portionconfigured to divide a shot image into a plurality of image regions so that an amount of change of an image quality is within a predetermined range when the shot image is blurred using a blur kernel depending on an object distance and an angle of view of the shot image, a blur kernel generating portionconfigured to calculate the blur kernel for each image region divided by the image region dividing portion, and an image processing calculating portionconfigured to generate a blur-added image by performing a convolution calculation for the shot image using the blur kernel calculated by the blur kernel generating portion

Image processing apparatus, image pickup apparatus, image processing method, and image processing program

An image processing apparatus that blurs a picked-up image based on distance information on a subject, comprises a restoration kernel acquisition section that acquires a restoration kernel as a kernel for eliminating degradation of an image; a blur kernel acquisition section that acquires a blur kernel as a kernel for blurring the image; a compound kernel acquisition section that acquires a compound kernel obtained by merging the restoration kernel with the blur kernel; and an image processing section that eliminates the degradation of the picked-up image and blurs the picked-up image by using the compound kernel.

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Utsunomiya, Japan

Shin Tanaka