Sony Corporation

Sony Group Corporation

Hideyuki Ichihashi

Masatoshi Yokokawa

Yiwen Zhu

Tomohiro Nishi

Takahiro Nagano

Takefumi Nagumo

Yuji Ando

Masashi Uchida

Kazunori Kamio

Hiroshi Oryoji

Nobuhiro Ogawa

Daisuke Tsuru

Michel Xavier

A pixel addition processing unitadds pupil division pixel signals with a plurality of different addition patterns in pupil units to generate a pixel addition image for each addition pattern. Further, the pixel addition processing unitmay use a pupil division pixel signal in which a sensitivity difference between pupil division pixels has been corrected, and the addition pattern may be set on the basis of image characteristic information calculated by using the pupil division pixel signal. A super-resolution processing unitperforms super-resolution processing using a pixel addition image signal generated for each addition pattern by the pixel addition processing unitto generate an image signal with a higher resolution than that of the pixel addition image signal. A high-resolution image can be generated using pupil division.

Image processing device, image processing method, and imaging device for generation of high-resolution image

There is provided an image processing device and method, and a program for enabling improvement in image quality in sensor shift imaging. When performing imaging while shifting the pixel phase of an image sensor having a two-dimensional pixel array, an image processing device adds up, for each pixel phase, a plurality of frames imaged in each pixel phase, and generates an addition frame for each pixel phase. The image processing device then combines the addition frames of the respective pixel phases. The present technology can be applied to a sensor shift imaging system.

Image processing device and method, and program

An imaging element of an imaging unitdivides the exit pupil of an imaging optical systeminto a plurality of regions and generates a pixel signal for each region. An optical axis position adjustment unitadjusts the optical axis position of the imaging optical system with respect to the imaging element. A control unitcalculates a parallax on the basis of the pixel signal for each region after the pupil division and performs focus control of the imaging optical system. The control unitalso moves the optical axis position using the optical axis position adjustment unit, and generates, using the imaging element, pixel signals indicating the same subject region in the plurality of regions after the pupil division. An image processing unitperforms binning of a plurality of pixel signals indicating the same subject region generated by moving the optical axis position to generate a high-resolution captured image. Calculation of the parallax and acquisition of a high-resolution captured image can be performed.

Imaging control device, imaging control method, and imaging device for increasing resolution of an image

Provided is an image processing device that includes a wide image capturing unit which captures an image of a wide viewing angle, a tele image capturing unit which captures an image of a narrow viewing angle, and an image processing unit which receives an input of the captured images of the respective imaging units and executes signal processing. In a case where a wide conversion lens is attached to the tele image capturing unit, the image processing unit executes any one of a high-sensitivity image generation processing, a HDR image generation processing, or a high-resolution image generation processing based on the captured images of the wide image capturing unit and the tele image capturing unit according to a situation at the time of imaging with a wide conversion lens attachment detection unit which detects whether the wide conversion lens is attached.

Image processing device and image processing method to generate one image using images captured by two imaging units

Provided are a signal processing apparatus, a signal processing method, and an imaging apparatus for estimating depth with a high degree of accuracy from video signals of a plurality of cameras. The signal processing apparatus includes a detection unit that detects depth from video captured by a plurality of cameras, an estimation unit that estimates camera motion by detecting a camera position, a prediction unit that predicts present depth from camera motion and depth obtained previously, and a synthesis unit that synthesizes depth detected by the detection unit and depth predicted by the prediction unit on the basis of a result of estimating the amount of blur that occurs in each image captured by cameras. The amount of blur can be estimated using camera motion, previous depth information, and shutter time.

Signal processing apparatus, signal processing method, and imaging apparatus

There is provided an imaging apparatus and an imaging method, and an image processing apparatus and an image processing method each capable of capturing a high resolution image by effectively using respective pixel signals of a plurality of pixels defined by pupil division immediately below a microlens. A disparity is detected in units of pupil on the basis of respective pixel values of a plurality of divided pixels defined by pupil division. The pixel values of the plurality of divided pixels are added in units of pupil to obtain an added pixel value. The pixel value of the divided pixel and the added pixel value are blended in units of divided pixel in accordance with the disparity. The present disclosure is applicable to an imaging apparatus.

Imaging apparatus and imaging method, and image processing apparatus and image processing method

A fusion processing unit performs warping with a high quality image as a reference by using a wide angle image that is generated by an imaging unit and has a wider angle of view than the high quality image generated by the imaging unit in a case where a predetermined condition is satisfied, and generates a fusion image by matching positions of image overlapping regions with each other of the high quality image having a higher image quality than the wide angle image and the wide angle image after the warping. A captured image can be generated having a wide angle of view and high image quality without degrading image quality using a plurality of captured images respectively having different angles of view and resolutions.

Image processing device and image processing method

A first imaging simulation section in a learning device generates image data that indicates a learning image captured by the imaging section from image data on the learning image, and a second imaging simulation section generates image data that indicates the learning image captured by an imaging section from the image data on the learning image. A plurality of parameter generation sections each generate a characteristic difference correction parameter for making characteristics of student data identical to characteristics of teacher data by learning, assuming one of the generated image data as the teacher data and the other image data as the student data, and the parameter generation sections store the generated characteristic difference correction parameters in a plurality of database sections. A characteristic difference correction section corrects one image data having a lower performance to image data having a high performance, using the stored characteristic difference parameters.

Image processing device, image processing method, learning device, and learning method

An image processing apparatus including a selection section which, by selecting an electricity consumption minimum value where electricity consumption of a display section, which performs a display based on a value out of a plurality of values which are present within a predetermined distance from a pixel value of an image in a uniform color space, is a minimum as a pixel value of the image after color conversion, generates an image after the color conversion.

Information processing system, image processing apparatus, image processing method, and program for color conversion of an image by selecting an electricity consumption minimum value

The present disclosure relates to an image processing apparatus, an image processing method, and a program which can suppress degradation of image quality when power consumption of a display unit is reduced by reducing luminance of an image. A determining unit determines a reduction amount of luminance of a pixel based on characteristics of each pixel of an input image. A reducing unit reduces the luminance of the pixel of the input image by the reduction amount determined by the determining unit. The present disclosure can be applied to, for example, an image processing apparatus, or the like, which reduces luminance of a pixel based on characteristics of each pixel of an input image and displays the input image whose luminance is reduced.

Image processing apparatus and image processing method

There is provided an addition ratio learning apparatus including a noise adding unit that adds noises to data of an image input as a teacher image, a motion compensating unit that sets an image where time addition noise reduction processing is executed as an NR screen and performs motion compensation with respect to the NR screen, a differential feature amount calculating unit that sets an image as an input screen and calculates a differential feature amount, a circulation history specifying unit that counts a circulation history in the time addition noise reduction processing and specifies the circulation history, an addition ratio computing unit that computes an addition ratio on the basis of pixel values, and a time adding unit that performs multiplication by a coefficient determined according to the computed addition ratio to perform weighted addition and executes the time addition noise reduction processing with respect to the input screen.

Addition ratio learning apparatus and method, image processing apparatus and method, program, and recording medium

An image processor performing super-resolution of converting an input image with first resolution to an output image with second resolution higher than the first resolution on consecutive input images includes a prediction unit predicting the output image with the second resolution of a current frame using the input image of the current frame and the output image obtained by the super-resolution on an input image of a previous frame; a generation unit generating a reduced image with the first resolution composed of pixels at different phases of the prediction image using a prediction image obtained by the prediction of the prediction unit; a difference calculation unit calculating a difference between the input image of the current frame and the reduced image; and an addition unit adding the difference up-sampled to the second resolution to the prediction image, thus generating the output image with the second resolution of the current frame.

Image processor, image processing method and program

An image processing apparatus that converts an input image having first resolution into an output image having second resolution higher than the first resolution includes a super-resolution processing unit that converts the input image into an SR image having the second resolution through motion compensation, a motion mask generating unit that generates a motion mask indicating an accuracy of estimation, an edge direction information generating unit that generates edge direction information indicating an edge direction of each area of the input image, a weight map generating unit that generates a weight map indicating likelihood of the edge direction of each of the areas, an interpolation processing unit that converts the input image into an interpolated image having the second resolution, a weight computing unit that computes a weight, and an image generating unit that generates the output image by constructing a weighted sum of the SR image and interpolated image.

Image processing apparatus, image processing method, and program

An image processing apparatus for generating a motion compensation image. The image processing apparatus includes: a pixel-relative-position calculation section calculating a relative position between a pixel position of a pixel constituting the motion compensation image and a pixel position of a reference pixel of a reference image to be used for calculating a pixel value of the pixel on the basis of motion vector information; a relative-position quantization section performing quantization processing of relative-position information calculated by the pixel-relative-position calculation section and generating quantized-relative-position information; and a motion-compensation-image generation section generating a motion compensation image by calculating a pixel value of a constituent pixel of the motion compensation image on the basis of the quantized-relative-position information and a pixel value of the reference pixel.

Image processing apparatus, method, and computer-readable medium for generating motion compensation images

A data processing apparatus able to generate encoded data able to give a high quality decoded image, wherein a Q-calculation circuit specifies a bit rate by which the encoded data is decoded at the time of decoding based on encoded data, then the Q-calculation circuit controls quantization scales of a quantization circuit based on the specified bit rate.

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Tokyo, Japan

Hideyuki Ichihashi