Sony Corporation

Sony Group Corporation

Yiwen Zhu

Kazunori Kamio

Takahiro Nagano

Hideyuki Ichihashi

Masatoshi Yokokawa

Tomohiro Nishi

Yoichi Yagasaki

Kazushi Sato

Junichi Tanaka

Kenichiro Hosokawa

Shintaro Okada

Yuki Tokizaki

Ohji Nakagami

Takashi Kojima

Yuji Ando

Takefumi Nagumo

Koji Kashima

Takami Mizukura

Hiroyuki Yasuda

Satoshi Mitsuhashi

Takuro Kawai

Satoshi Kawata

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

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 apparatus and a method that perform a process of improving the quality of a low-quality image such as a far-infrared image. The apparatus includes an image correction unit that repeatedly performs an image correction process using a plurality of processing units in at least two stages. The image correction unit inputs a low-quality image to be corrected and a high-quality image which is a reference image. Each of the processing units in each stage performs a correction process for the low-quality image, using a class correspondence correction coefficient corresponding to a feature amount extracted from a degraded image of the high-quality image. A processing unit in a previous stage performs the correction process, using a class correspondence correction coefficient corresponding to a feature amount extracted from an image which has a higher degradation level than that in a processing unit in a subsequent stage.

Image processing apparatus, image processing method, and program

Effective image correction processing for reducing flicker is executed according to characteristics of images, and an image to be displayed in a liquid crystal display apparatus is generated. Characteristic amount change rate data that is a change rate between a characteristic amount of a sample image and a characteristic amount of a sample image output to a liquid crystal display device is acquired in advance and stored in a storage unit. The correction parameter for reducing flicker is calculated on the basis of the characteristic amount of the image to be corrected and the characteristic amount change rate data of the sample images stored in the storage unit. The correction processing to which the calculated correction parameter has been applied is executed for the image to be corrected to generate a display image. As the characteristic amount, for example, the interframe luminance change amount, the interline luminance conversion amount, or the interframe motion vector is used.

Liquid crystal display apparatus and liquid crystal display control method for image correction

A coefficient calculator calculates a correlation coefficient representing a correlation between a normal frame, which is imaged in a state in which normal light is applied to a subject, and a special frame, which is imaged in a state in which special light is applied to the subject; and a processing unit that applies image processing to the special frame so that a part in which the correlation coefficient is high and a part in which the correlation coefficient is low are displayed differently in the special frame. Further provided are: a first determination unit that calculates, for each pixel or each area of the normal frame, a first determination value representing a probability that a predetermined site is imaged; and a second determination unit that calculates, for each pixel or each area of the special frame, a second determination value representing a probability that a predetermined site is imaged.

Medical image processing apparatus, medical image processing method, and program

Provided are an apparatus and a method for executing image quality enhancement processing on a fluorescence image. A fluorescence image and a visible light image are input and the image feature amount is extracted, so as to execute pixel value correction processing on the fluorescence image on the basis of a correction parameter determined in accordance with the feature amount. The correction parameter used for pixel value correction is determined by the correction parameter calculation unit on the basis of the feature amount. The image correction unit executes pixel value correction processing that applies the correction parameter determined by the correction parameter calculation unit. For example, blur mode information is obtained as a feature amount from a fluorescence image, and the image correction unit executes pixel value correction processing on the fluorescence image so as to reduce blur of the fluorescence image.

Image processing apparatus, imaging apparatus, and image processing method

A device includes a feature amount calculating unit for receiving an infrared light image and a visible light image and extracting a feature amount from at least one of the images and an image correcting unit for executing pixel value correction processing on the infrared light image on the basis of a reference area and a correction parameter determined depending on the feature amount. The device further includes a tap selection unit for determining the reference area used for the pixel value correction on the basis of the feature amount and a correction parameter calculating unit for determining the correction parameter used for the pixel value correction on the basis of the feature amount. The image correcting unit executes the pixel value correction processing in which a tap determined by the tap selection unit and the correction parameter determined by the correction parameter calculating unit are applied.

Image processing device, imaging device, and image processing method

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

An image processor includes a first acquirer that acquires a matching tap having a target pixel at the center, a second acquirer that acquires plural matching taps each having, at the center, one of pixels in a search area including the pixels surrounding the target pixel, a similarity identifier that identifies, among the matching taps acquired by the second acquirer, a similarity maximizing pixel representing a central pixel of the matching tap having the highest similarity to the matching tap acquired by the first acquirer, and a mixing controller that computes a pixel value of the target pixel by mixing a pixel value obtained by performing a predetermined arithmetic process on pixel values of a prediction tap having the target pixel at the center with a pixel value obtained by performing a predetermined arithmetic process on pixel values of a prediction tap having the similarity maximizing pixel at the center.

An image processing apparatus, a method, and a program that enable an amount of code to be suppressed below a desired value with more reliability. An emergency mode determining section determines that the amount of code of a next picture is likely to exceed an upper limit if a target bit calculated by a rate controlling section exceeds a predetermined upper limit. If it is determined that the amount of code of the next picture is likely to exceed the upper limit, the code amount controlling section controls an orthogonal transducing section to replace a transform coefficient of a predetermined frequency component with zero, controls an intra predicting section to restrict intra prediction modes to be applied, and controls a mode determining section to restrict inter prediction modes to be applied. The prevent invention can be applied to an encoding apparatus.

Image processing apparatus and method, and program

There is provided an image processing device including a weight calculation unit that calculates a weight corresponding to each of a plurality of pixel values centering on a pixel of interest of an input image based on a feature amount calculated based on the plurality of pixel values centering on the pixel of interest, a regression coefficient reading unit that reads a regression coefficient stored for each class code determined based on a plurality of pixel values corresponding to the pixel of interest of the input image, and a pixel value calculation unit that calculates a pixel value of a pixel of interest of an output image by performing calculation using the plurality of pixel values, the weights, and the regression coefficients centering on the pixel of interest of the input image.

Image processing device and method, learning device and method, and program

The present invention relates to an image processing apparatus and a method and a program that enable an amount of code to be suppressed below a desired value with more reliability. An emergency mode determining sectiondetermines that the amount of code of a next picture is likely to exceed an upper limit if a target bit calculated by a rate controlling sectionexceeds a predetermined upper limit. If it is determined that the amount of code of the next picture is likely to exceed the upper limit, the code amount controlling sectioncontrols an orthogonal transducing sectionto replace a transform coefficient of a predetermined frequency component with zero, controls an intra predicting sectionto restrict intra prediction modes to be applied, and controls a mode determining sectionto restrict inter prediction modes to be applied. The prevent invention can be applied to an encoding apparatus.

Image processing device, method, and program

A coding device having a judgment unit configured to judge whether or not a GOP is a GOP where GOP unit flicker is readily visible in an image decoded after encoded the GOP, for each of GOPs forming image data to be coded, and a coding unit configured to apply processing for suppressing the GOP unit flicker when the judgment unit judges that the GOP is a GOP where flicker is readily visible.

Growing community of inventors

Kanagawa, Japan

Yiwen Zhu