Sony Corporation

Satoru Takeuchi

Shun Kaizu

Masanori Kasai

Teppei Kurita

Takefumi Nagumo

Yuhi Kondo

Hiroaki Takahashi

Yasushi Saito

Tomonori Masuno

Yoshikuni Nomura

Fumihito Yasuma

There is provided an image processing apparatus including an image information combining unit that performs a pixel value combining process on a long-time exposure pixel and a short-time exposure pixel. The pixel information combining unit calculates a plurality of blending ratios based on pixel values of a plurality of pixels of different periods of exposure time, determines an applied blending ratio, which is applied to a blending process for the long-time exposure pixel and the short-time exposure pixel, based on the plurality of blending ratios, and determines pixel values of an output image or an intermediate image which is applied to produce the output image, by the blending process for the long-time exposure pixel and the short-time exposure pixel to which the applied blending ratio is applied.

Image processing apparatus, image processing method, and program

Provided is an image processing device including a data conversion processing unit that receives an input of an RGBW array image and generates an RGB array image as an output image. The data conversion processing unit includes a pixel interpolation unit that calculates interpolated pixel values corresponding to an array of the RGB array image by performing a pixel interpolation process on the RGBW array image, a purple fringe detection unit that detects whether each pixel is a purple fringe pixel by analyzing the RGBW array image, a corrected value calculation unit that calculates corrected pixel values by correcting pixel values of the purple fringe pixels, and a blend processing unit that calculates constituent pixel values RGB of the output image by performing a blend process of blending the interpolated pixel values calculated by the pixel interpolation unit with the corrected pixel values calculated by the corrected value calculation unit.

Image processing device, image processing method, and program to perform correction processing on a false color

An image processing apparatus includes a superimposition processing unit that performs a blending process for a plurality of continuously captured images, wherein the superimposition processing unit is configured to selectively input luminance signal information of a RAW image or a full color image as a processing target image and perform a superimposition process, and performs a process for sequentially updating data that is stored in a memory for storing two image frames so as to enable superimposition of any desired number of images.

Image processing apparatus, image processing method, and program for performing superimposition on raw image or full color image

Provided is an image processing apparatus including: an image combination unit which generates combined images by combining photographed images having different exposure times; and a motion area detection unit which performs a comparison process on a plurality of the combined images generated by the image combination unit to acquire a pixel value difference and which performs a motion area detection process of comparing the pixel value difference with a predetermined threshold value and determining a pixel area, of which the pixel value difference is equal to or larger than the threshold value, to be a motion area where motion of a subject is estimated to have occurred.

Image processing apparatus, image capturing apparatus, image processing method, and program for performing a comparison process on combined images and a motion area detection process

An image processing device includes an image correction unit which receives a synthesized image and pseudo color pixel information indicating a pseudo color pixel position included in the synthesized image and executes pixel value correction. The image correction unit selects non-pseudo color pixels as reference pixels from a reference region set in a surrounding region of the pixel to be corrected, sets a similarity weight coefficient in which a large weight is set as a pixel value of the reference pixel that is close to a pixel value of the pixel to be corrected and a pixel position weight coefficient in which a large weight is set as the pixel value of the reference pixel that is near a pixel position of the pixel to be corrected, with respect to the reference pixels, and determines a correction pixel value of the pixel to be corrected by a weighted summation process.

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Chiba, Japan

Satoru Takeuchi