Abstract: An image processing device includes a memory and a processor configured to separate first image data obtained by an image sensor having a Bayer arrangement, into second image data that includes brightness information, and third image data that includes color information and has a lower resolution than the first image data and the second image data, wherein a pixel arrangement of the third image data includes two pixels in each of a horizontal direction and a vertical direction, among which two pixels on one diagonal are of a same type, two pixels on another diagonal are of types different from each other, and the two pixels on said another diagonal are of the types different from the two pixels on the one diagonal.

Abstract: An image processing device includes an extracting part and a prediction part. The extracting part extracts an unsaturated area, in which pixel values are not saturated, and a saturated area, in which pixel values are saturated, from image data that is captured by an imaging device and that shows an image including a plurality of pixels. The prediction part predicts a pixel value of a pixel of interest in the saturated area based on pixel values of a plurality of border pixels in a border area, the border area being located in the unsaturated area and bordering the saturated area.

Abstract: An image processing device includes a memory and a processor configured to execute: obtaining a first image captured by an imaging device installed on a mobile object; generating a second image in which brightness of a second area located below a first area of the first image in a vertical direction with respect to a traveling surface of the mobile object, is corrected based on brightness of the first area; and outputting the second image.

Abstract: An imaging device includes: an imaging element including a plurality of photoelectric conversion elements arranged in a matrix, and configured to be driven in units of a plurality of lines each including a plurality of photoelectric conversion elements arranged in one direction; a memory; and a processor. The processor is configured to execute detecting an occurrence of a flicker, based on image data generated by the imaging element; and increasing a number of times of exposures in one-frame period of the photoelectric conversion elements included in a line in which the flicker is detected by the detecting, compared with a number of times of exposures in the one-frame period of the photoelectric conversion elements included in a line in which a flicker is not detected.

Abstract: An image processing device for performing correction processing on original image data generated by an image-capturing element configured to receive light with a plurality of pixels through a color filter including segments of a red color and at least one complementary color includes a processing circuitry being configured to perform operations including converting the original image data into primary color-based image data represented in a primary color-based color space, acquiring a statistical value of a plurality of pieces of pixel data corresponding to the plurality of pixels from the primary color-based image data, calculating a correction parameter by using the statistical value, and correcting the original image data based on the correction parameter.

Abstract: A haze image discriminating apparatus has a first calculator to calculate a difference between a color difference component of an image signal of each of a plurality of pixels in an image and a gray value, and calculate a first ratio of pixels in which the difference is lower than a first reference value, to the plurality of pixels, a second calculator to calculate a second ratio of pixels in which a luminance component of the pixel signal of each of the plurality of pixels is lower than a second reference value, to the plurality of pixels, and a haze-degree determining unit to determine that a degree of haze of the image is higher as the first ratio is higher and the second ratio is lower.

Abstract: A haze image discriminating apparatus has a first calculator to calculate a difference between a color difference component of an image signal of each of a plurality of pixels in an image and a gray value, and calculate a first ratio of pixels in which the difference is lower than a first reference value, to the plurality of pixels, a second calculator to calculate a second ratio of pixels in which a luminance component of the pixel signal of each of the plurality of pixels is lower than a second reference value, to the plurality of pixels, and a haze-degree determining unit to determine that a degree of haze of the image is higher as the first ratio is higher and the second ratio is lower.

Abstract: An image processing apparatus includes a histogram computation section that for a plurality of images with different light exposure amounts captured, computes for each of the images a histogram of the number of pixels a light exposure amount ratio computation section that, based on a degree of similarity between a profile of a first histogram computed from a first image out of the plurality of images and a profile of a second histogram computed from a second image out of the plurality of images, computes as a light exposure amount ratio a ratio between a light exposure amount for the first image and a light exposure amount for the second image, and a pixel value adjustment section that adjusts the pixel values of pixels contained in one image out of the first image and the second image based on the light exposure amount ratio.

Abstract: An image processing apparatus includes an extraction section that extracts a first high brightness region from a source image where brightness is a first threshold value or greater, a mask generation section that performs blur processing and binarization processing on the first high brightness region and generates a mask containing the first high brightness region, a mask application section that based on the mask performs elimination processing, thinning processing, or both on the first high brightness region, a bright line generation section that generates a bright line based on a second high brightness region contained in output of the mask application section, and a synthesizing section that synthesizes the bright line onto the source image.

Abstract: An image processing apparatus includes an extraction section that extracts a first high brightness region from a source image where brightness is a first threshold value or greater, a mask generation section that performs blur processing and binarization processing on the first high brightness region and generates a mask containing the first high brightness region, a mask application section that based on the mask performs elimination processing, thinning processing, or both on the first high brightness region, a bright line generation section that generates a bright line based on a second high brightness region contained in output of the mask application section, and a synthesizing section that synthesizes the bright line onto the source image.

Abstract: An image processing apparatus includes a histogram computation section that for a plurality of images with different light exposure amounts captured, computes for each of the images a histogram of the number of pixels a light exposure amount ratio computation section that, based on a degree of similarity between a profile of a first histogram computed from a first image out of the plurality of images and a profile of a second histogram computed from a second image out of the plurality of images, computes as a light exposure amount ratio a ratio between a light exposure amount for the first image and a light exposure amount for the second image, and a pixel value adjustment section that adjusts the pixel values of pixels contained in one image out of the first image and the second image based on the light exposure amount ratio.