There is provided an imaging device including a pixel array section including pixel units two-dimensionally arranged in a matrix pattern, each pixel unit including a photoelectric converter, and a plurality of column signal lines disposed according to a first column of the pixel units. The imaging device further includes an analog to digital converter that is shared by the plurality of column signal lines.

An image processing device includes: an image sensor configured to generate first image data by using a color filter array; and processing circuitry configured to select a processing mode from a plurality of processing modes for the first image data, the selecting being based on information about the first image data; generate second image data by reconstructing the first image data using a neural network processor based on the processing mode; and generate third image data by post-processing the second image data apart from the neural network processor based on the processing mode.

There is provided an imaging device including a pixel array section including pixel units two-dimensionally arranged in a matrix pattern, each pixel unit including a photoelectric converter, and a plurality of column signal lines disposed according to a first column of the pixel units. The imaging device further includes an analog to digital converter that is shared by the plurality of column signal lines.

A solid-state imaging device includes a semiconductor substrate; and a pixel unit having a plurality of pixels on the semiconductor substrate, wherein the pixel unit includes first pixel groups having two or more pixels and second pixel groups being different from the first pixel groups, wherein a portion of the pixels in the first pixel groups and a portion of the pixels in the second pixel groups share a floating diffusion element.

An image processing device includes: an image sensor configured to generate first image data by using a color filter array; and processing circuitry configured to select a processing mode from a plurality of processing modes for the first image data, the selecting being based on information about the first image data; generate second image data by reconstructing the first image data using a neural network processor based on the processing mode; and generate third image data by post-processing the second image data apart from the neural network processor based on the processing mode.

An image encoding method includes a color difference signal Cr corresponding to a first pixel and a color difference signal Cb corresponding to a second pixel that are determined based on a pixel value of the first pixel, a pixel value of the second pixel, and pixel values of a third pixel and a fourth pixel that are adjacent to the first pixel. Then, an average value Co of the color difference signal Cr corresponding to the first pixel and the color difference signal Cb corresponding to the second pixel, and a difference value Cg between the color difference signal Cr and the color difference signal Cb are determined.

A solid-state imaging device includes a semiconductor substrate; and a pixel unit having a plurality of pixels on the semiconductor substrate, wherein the pixel unit includes first pixel groups having two or more pixels and second pixel groups being different from the first pixel groups, wherein a portion of the pixels in the first pixel groups and a portion of the pixels in the second pixel groups share a floating diffusion element.

A method for estimating the image depth map of a scene, includes the following steps: providing (E1) an image, the focus of which depends on the depth and wavelength of the considered object points of the scene, using a longitudinal chromatic optical system; determining (E2) a set of spectral images from the image provided by the longitudinal chromatic optical system; deconvoluting (E3) the spectral images to provide estimated spectral images with field depth extension; and analyzing (E4) a cost criterion depending on the estimated spectral images with field depth extension to provide an estimated depth map.

The present disclosure relates to an imaging apparatus, an imaging method, and a program that enable exposure control on a captured image in a non-Bayer pattern by an exposure control method designed for captured images in Bayer patterns.

When a Bayering process is performed on a captured image in an RGBW pixel array, a level correction unit corrects the signal level of the captured image so that an earlier level that is the signal level of each white pixel with the highest sensitivity in the captured image prior to the Bayering process becomes equal to a later level that is the signal level of each green pixel to be used in exposure control on an image in a Bayer pattern that is the RGB image after the Bayering process. The present disclosure can be applied to imaging apparatuses, for example.

An image sensor includes: light receiving units disposed two-dimensionally on a substrate; color filters disposed on the light receiving units and including at least one of: a blue color filter for passing both of blue light and blue-violet light; a cyan color filter for passing both of green light and the blue-violet light; and a magenta color filter for passing both of red light and the blue-violet light; a first film arranged on a light receiving unit on which the cyan color filter is disposed, among the light receiving units, the first film having a peak of reflectivity near 450 nm; and a second film arranged on a light receiving unit on which the magenta color filter is disposed, among the light receiving units, the second film having a peak of reflectivity between 450 nm and 500 nm.