Kabushiki Kaisha Toshiba

Jun Yamaguchi

Akiyuki Tanizawa

Takeshi Chujoh

Taichiro Shiodera

Nao Mishima

Takayuki Sasaki

Tatsuo Kozakaya

Akihisa Moriya

Tomoya Tsuruyama

Yusuke Moriuchi

Masahiro Baba

Yoshiyuki Kokojima

According to one embodiment, an image processing apparatus includes a buffer and processing circuitry. The buffer stores first and second images capturing an object. The circuitry calculates at least one of a first distance to the object in the first image and a second distance to the object in the second image by using a correction parameter for correcting at least one of influences caused by ambient light, a reflection characteristic of the object, or a color of the object, calculates three-dimensional coordinates of the object on a relative scale by using the first and second images, and calculates three-dimensional coordinates of the object on a real scale based on at least one of the first and second distances, and the three-dimensional coordinates of the object on the relative scale.

Image processing apparatus and ranging apparatus

According to one embodiment, an electronic device includes one or more processors. The one or more processors obtain an image captured by a camera with a filter having a first area transmitting light of a first wavelength range and a second area transmitting light of a second wavelength range. The image includes a first color-component image based on the light of the first wavelength range and a second color-component image based on the light of the second wavelength range. The one or more processors notify a user of an effective area for calculation of depth information based on a bias of color information in the first color-component image and the second color-component image.

Electronic device and notification method

According to one embodiment, an image processing device includes a hardware processor implemented by one or more processors. The hardware processor is configured to acquire an image captured by a monocular camera. The hardware processor is configured to estimate a distance to an object based on the acquired image. The hardware processor is configured to calculate the distance to the object by considering an atmosphere failure influencing the acquired image and executing a statistical process on the estimated distance.

Image processing device and image capture apparatus

According to one embodiment, an optical filter associated with a lens unit having a first end includes a filter part, a filter frame, and an attachment part. The filter part includes a first filter area that transmits light rays of a first wavelength band and a second filter area that transmits light rays of a second wavelength band. The first wavelength band and the second wavelength band include a common wavelength band. The filter frame holds the filter part. The attachment part is coupled with the filter frame and is detachably attached to the first end of the lens unit. When the attachment part is attached to the first end of the lens unit, a distance between the filter part and an aperture within the lens unit is longer than a distance between the first end and the aperture.

Optical filter, imaging device, and ranging device

According to one embodiment, an image processing apparatus includes a memory and one or more processors. The one or more processors are electrically connected to the memory, and calculate blur correction information to make a blur of a first shape of an object approach a blur of a second shape of the object. The first shape of the object is contained in a first component image of one image. The second shape of the object is contained in a second component image of the one image. The one or more processors calculate a distance between an imaging device and the object based on an image distance when the one image is captured and the blur correction information. The image distance is a distance from a lens up to an image forming surface of the object.

Imaging processing apparatus, distance measuring apparatus and processing system

An image processing device includes a background luminance input unit, an image processing unit and a luminance setting unit. The background luminance input unit stores background luminance information regarding background luminance. The image processing unit generates display image data and contrast conversion information. The display image data is provided by modulating a contrast of a correction image data so that pixel values included in the correction image data are in an acceptable range. The correction image data is provided by correcting blurring in an input image data to be input to the image processing unit based on the background luminance information. The contrast conversion information is information used for modulating the contrast. The luminance setting unit generates a luminance setting information to set a luminance of the projection unit based on the modulation information.

Image processing device and image display apparatus

An image encoding apparatus includes a setting unit configured to set a combination of a vertical transform matrix and a horizontal transform matrix corresponding to the target image. The combination includes any of a plurality of transform matrices including a first transform matrix and a second transform matrix which increases a coefficient density compared to the first transform matrix if a one-dimensional orthogonal transformation in a direction orthogonal to a line of a group of reference pixels on at least one line is performed on the prediction error in the intra-prediction mode in which the group of reference pixels is referenced to generate an intra-prediction image.

Image encoding apparatus and image decoding apparatus employing intra preciction and direction transform matrix

An image decoding method which includes decoding transform coefficients for a target image. A combination of a vertical inverse transform matrix and a horizontal inverse transform matrix corresponding to a target image is set. The transform coefficients are inversely transformed along a vertical direction and a horizontal direction using the combination which has been set to obtain a prediction error. The decoded image is generated using the prediction error.

Image decoding method using a vertical inverse transform matrix and a horizontal inverse transform matrix

According to one embodiment, an encoding apparatus includes a prediction unit, a classifying unit, a first transformer, a second transformer, an order controller, and an entropy coder. The prediction unit obtains a predictive residual signal to be encoded, by using a mode selected from intra-prediction modes. The first transformer obtains first transformation coefficients by subjecting the signal to an orthogonal transformation by use of a first transformation basis if the selected mode is classified into a mode having a prediction direction. The first transformation basis is preset so that a coefficient density after the orthogonal transformation is higher than a coefficient density.

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Kawasaki, Japan

Jun Yamaguchi