An image sensor includes a substrate, a first set of sensor pixels formed on the substrate, and a second set of sensor pixels formed on the substrate. The sensor pixels of the first set are arranged in rows and columns and are configured to detect light within a first range of wavelengths (e.g., white light). The sensor pixels of the second set are arranged in rows and columns and are each configured to detect light within one of a set of ranges of wavelengths (e.g., red, green, and blue). Each range of wavelengths of the set of ranges of wavelengths is a subrange of said first range of wavelengths, and each pixel of the second set of pixels is smaller than each pixel of the first set of pixels.

The polarization imaging unit generates a polarized image including pixels for each of a plurality of polarization components. The demosaicing unit calculates a pixel signal for each polarization component by using the pixel signal of the target pixel of the polarized image and the pixel signal of the pixel for each of the identical polarization components located near the target pixel. In one example, a low frequency component is calculated for each polarization component using the pixel signal of the pixel located near the target pixel for each of the identical polarization components. In addition, component information indicating relationship between the low frequency component of the polarization component of the polarized image and the pixel signal of the target pixel is acquired. Furthermore, the pixel signal for each polarization component in the target pixel is calculated based on the low frequency component and the component information for each polarization component.

An image quality adjustment device includes: a lighting controller that controls a display panel including a plurality of pixels, each including arrangement of a plurality of subpixels such that the display panel displays a measurement image in which a part of the plurality of subpixels is lit; and a first electric filter that removes at least a spatial frequency component greater than or equal to fd/2 from a first image obtained by capturing the measurement image displayed on the display panel using an capture device when a panel spatial frequency determined by a pixel pitch of the pixel in a direction in which the plurality of subpixels are arrayed is set to fd.

A system for multispectral imaging and ranging is provided. The system comprises at least one light illumination source, and a focal plane detector array configured to support both passive imaging and active imaging at multiple wavelengths. The focal plane detector array includes a plurality of pixels, wherein each of the pixels comprises a plurality of detectors. The detectors are configured to collect passive light to support passive imaging; collect retro-reflected light, transmitted by the at least one light illumination source, to support active illuminated imaging; and collect retro-reflected light, transmitted by the at least one light illumination source, to support active illuminated ranging.

An image processing apparatus includes a processor configured to execute: acquiring image data; generating first interpolation image data associated with light having a red wavelength band, second interpolation image data associated with light having a green wavelength band, third interpolation image data associated with light having a blue wavelength band, and fourth interpolation image data associated with narrow band light; performing a color space conversion process for converting each of the first to the third interpolation image data to a luminance component and a color difference component; extracting a first specific frequency component included in the fourth interpolation image data; combining the converted luminance component with the extracted first specific frequency component; and generating color image data based on a combination result obtained by the combining and based on the color difference component.

A solid-state imaging device includes a plurality of photoelectric conversion portions each provided to correspond to each of a plurality of pixels in a semiconductor substrate and receiving incident light through a light sensing surface, and a pixel separation portion that is embedded into a trench provided on a side portion of the photoelectric conversion portion and electrically separates the plurality of pixels in a side of an incident surface of the semiconductor substrate into which the incident light enters. The pixel separation portion is formed by an insulation material which absorbs the incident light entering the light sensing surface.

An image processing device includes: an image acquisition unit configured to acquire images including at least one narrow-band image and having different wavelength component distributions from one another; an absorption information extracting unit configured to extract absorption information from a first image on the basis of a specific frequency component in the first image and correlation between the first image and a second image, the first image being a narrow-band image among the images, the second image being an image different from the first image among the images, the absorption information being image information indicating a change in absorption caused by absorption of narrow-band light used in capturing of the first image by a light absorber; and a display image generating unit configured to generate an image for display by combining the absorption information with at least any one of the images.

A conductive film has a polygonal wiring pattern which allows an indicator of evaluation of noises to be equal to or less than an evaluation threshold value. Here, from at least one point of view, in frequencies and intensities of noises each calculated for each color from first and second peak frequencies and first and second peak intensities of 2DFFT spectra of transmittance image data of a combined wiring pattern including a random mesh pattern of a plurality of thin metal lines of a wiring portion and luminance image data of a pixel array pattern of each color at the time of lighting on for each single color, the indicator of evaluation of noise is calculated from evaluation values of noises of the respective colors obtained by applying human visual response characteristics in accordance with an observation distance to intensities of the noises equal to or greater than a first intensity threshold value among intensities of the noises at frequencies of noises equal to or less than a frequency threshold value defined by a display resolution of a display unit.

An image processing method is provided. The method is configured to process the color-block image output by the image sensor. The high-frequency region of the color-block image is determined. A part of the color-block image within the high-frequency region is converted into a first image using a first interpolation algorithm. A part of the color-block image beyond the high-frequency region is converted into a second image using a second interpolation algorithm. The complexity of the second interpolation algorithm is less than that of the first interpolation algorithm. The first image and the second image are merged into a simulation image corresponding to the color-block image. An image processing apparatus and an electronic device are provided.

An imaging system includes an optical unit that captures, from a scene, first images indifferent wavelength ranges when the scene is illuminated with not-structured light and second images of different wavelength ranges when the scene is illuminated with structured light. Thereby an imaging lens unit with longitudinal chromatic aberration is arranged between the scene and an imaging sensor unit. A depth processing unit may generate depth information on the basis of the second images by using optical triangulation. A sharpness processing unit uses the depth information to generate an output image by combining the first images. The optical unit of the imaging, system may be implemented in an endoscope.