Sony Corporation

Sony Corportion

Junichi Ishibashi

Tetsujiro Kondo

Naoki Fujiwara

Seiji Wada

Takahiro Nagano

Takashi Sawao

Toru Miyake

Yasuhiro Suto

Tsutomu Watanabe

Hisakazu Shiraki

Masanori Kanemaru

Shinichiro Kaneko

Tohru Miyake

Shunji Maeda

Shunichi Sukegawa

Yasushi Tatehira

Tomoyuki Ohtsuki

Motoshige Okada

Kazushi Yoshikawa

Koichi Fujishima

Yoshio Inamoto

A solid state image sensor of the present disclosure includes: a first semiconductor substrate provided with at least a pixel array unit in which pixels that perform photoelectric conversion are arranged in a matrix form; and a second semiconductor substrate provided with at least a control circuit unit that drives the pixels. The first semiconductor substrate and the second semiconductor substrate are stacked, with first surfaces on which wiring layers are formed facing each other, the pixel array unit is composed of a plurality of divided array units, the control circuit unit is provided corresponding to each of the plurality of divided array units, and electrical connection is established in each of the divided array units, through an electrode located on each of the first surfaces of the first semiconductor substrate and the second semiconductor substrate, between the pixel array unit and the control circuit unit.

Stacked substrate solid state image sensor

Solid state image sensor comprising stacked substrates, semiconductor device, and electronic device

Solid state image sensor, semiconductor device, and electronic device

A motion-vector-setting section () sets a motion vector in units of pixel in a target image. Based on the motion vector, a target-pixel-setting section () sets a target pixel for each image in plural images to be processed. A motion-blur-amount-setting section () sets a motion blur amount in units of pixel based on the motion vector and the exposure-time ratio set in units of image in the exposure-time-ratio-setting section (). A processing-region-setting section () sets processing regions corresponding to the target pixel for each of the plural images based on the motion blur amount. A processing-coefficient-setting section () sets processing coefficients based on the motion blur amount. A pixel-value-generating section () generates motion-blur-removed pixel values that correspond to the target pixel by linear combination of pixel values corresponding to pixels in the processing region and the processing coefficients, so that they can be output from an integration section () as one pixel value. By utilizing any time-directional information significantly, motion-blur-removing processing can be accurately performed.

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

The present invention makes it possible to process at high speed the foreground component image and the background component image of picked up images on a network platform. A client computeroutputs information specifying image data desired to separate to a separation server. The separation serverobtains the specified image data from a storage serverand outputs it to a motion detecting serverto perform motion detection processing. Thereafter, the image data, motion vector and positional information are output to an area specifying server. The area specifying servergenerates area information of the image data and outputs the area information to a mixture ratio calculating serverin addition to the image data, the motion vector and the positional information. The mixture ratio calculating servercalculates a mixture ratio on the basis of the image data, the motion vector, the positional information and the area information, and a foreground/background image separation serverseparates foreground and background of the input image on the basis of such information. The present invention may be employed in a business model for image processing.

Communication system and method thereof

A motion-vector detector determines the centroid of pixels on a reference frame that is identified with position information set in a database and associated with a feature address corresponding to a feature of a target pixel. The motion-vector detector detects, as a motion vector of the target pixel, a vector that has a starting point at a pixel on the reference frame which corresponds to the target pixel on a current frame and has an end point at the determined centroid. The present invention can be applied to an apparatus for generating a motion vector and allows prompt detection of a motion vector.

Image processing apparatus, method, storage medium, and program

An image processing device, method, recording medium, and program where the device includes a simple-type angle detecting unit simply detects the angle as continuity using correlation from an input image. The device includes an input configured to input image data made up of a plurality of pixels acquired by real world light signals being cast upon a plurality of detecting elements, and a real world estimating unit configured to estimate light signals being cast in an optical low-pass filter.

Image processing device and method, recording medium, and program

A motion-setting section () sets a motion amount and a motion direction for obtaining processing coefficients. A student-image-generating section () generates student images obtained by adding a motion blur to a teacher image not only based on the set motion amount and the set motion direction but also by changing at least one of the motion amount and motion direction in a specific ratio and student images obtained by adding no motion blur to the teacher image. A prediction-tap-extracting section () extracts, in order to extract a main term that mainly contains component of the target pixel, at least a pixel value of pixel in the student image whose space position roughly agrees with space position of the target pixel in the teacher image. A processing-coefficient-generating section () generates processing coefficients for predicting the target pixels in the teacher images from the pixel values of extracted pixels based on a relationship between the pixels thus extracted and the target pixels in the teacher images. The processing coefficients that are suitable for any motion blur removing which is robust against any shift of the motion vector can be generated through learning.

Learning device, learning method, and learning program

A group of input image data is determined based on the distance between images of a number of representative faces, prepared from plural templates, and the input image data (correlative values Cto C). The number of representative faces is smaller than the number of the templates. An angle of the input image is calculated based on the so-determined group.

Data processing apparatus, data processing method and recording medium

A target-pixel-setting section () sets a target pixel in a target image to be predicted. A motion-direction-detecting section () detects a motion direction corresponding to the target pixel. A pixel-value-extracting section () extracts from peripheral images corresponding to the target image, in order to extract a main term that mainly contains component of the target pixel in a moving object that encounters a motion blur in the peripheral images, at least pixel values of pixels in the peripheral images whose space position roughly agree with space position of the target pixel. A processing-coefficient-setting section () sets a specific motion-blur-removing-processing coefficient. A pixel-value-generating section () newly generates pixel values for processing from the pixel values extracted by the pixel-value-extracting section () corresponding to the motion direction and generates pixel values corresponding to the target pixel based on the pixel values for processing and the specific motion-blur-removing-processing coefficients. It is possible to perform a robust motion-blur-removing processing on any shifts of motion vector.

Image processing device, learning device, and coefficient generating device and method

An image processing device, method, recording medium, and program where the device includes an image data continuity detector configured to detect continuity of image data made up of a plurality of pixels acquired by real world light signals being cast upon a plurality of detecting elements, and a real world estimating unit configured to estimate real world light signals by approximating image data with discontinuous functions.

A memory device, a signal processing apparatus, and an image signal processing apparatus and signal processing methods configured to perform matching processing with a small amount of calculation and accurately detecting motion vectors, provided with a memory for converting by using a feature including a pixel value in a certain block range having a focused pixel at its center as an address based on information of a reference frame stored in a second frame memory; and a matching portion for reading storage information of the ME memory by using a feature of a focused pixel included in information of a current frame supplied from a first frame memory as a feature address, calculating a distance between the focused pixel in the current frame and a feature address (position coordinates) read from the ME memory, and detecting differential coordinates based on position information having the minimum distance from a plurality of candidates as motion vectors of the focused pixel.

Memory device signal processing apparatus image signal processing apparatus and methods of the same

An image processing device, method, recording medium, and program and a learning device, where the learning device includes a computer configured to compute image data corresponding to light signals when the light signals corresponding to second image data pass through an optical low-pass filter and to output computed image data as first image data, a first tap extractor configured to extract a plurality of pixels corresponding to pixels of interest within the second image data from the first image data, and a learning unit configured to teach a predictor configured to predict pixel values of the pixels of interest from the pixel values of the plurality of pixels extracted by the first tap extractor.

In a communication system having at least three communication devices communicating with each other, a seating-order determination device for generating seating-order information for information sent from each communication device and for transmitting the seating-order information to each communication device is provided. Each communication device controls the output position of each information according to the seating-order information to output the information sent from the other communication devices in a seating order corresponding to the seating-order information. The seating order is always automatically changed to the most appropriate condition according to the progress of a conference and the state of conversations to provide the user with a comfortable conference environment and a comfortable communication environment.

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Saitama, Japan

Junichi Ishibashi