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.

A lens unit (120) shows longitudinal chromatic aberration and focuses an imaged scene into a first image for the infrared range in a first focal plane and into a second image for the visible range in a second focal plane. An optical element (150) manipulates the modulation transfer function assigned to the first and second images to extend the depth of field. An image processing unit (200) may amplify a modulation transfer function contrast in the first and second images. A focal shift between the focal planes may be compensated for. While in conventional approaches for RGBIR sensors contemporaneously providing both a conventional and an infrared image of the same scene the infrared image is severely out of focus, the present approach provides extended depth of field imaging to rectify the problem of out-of-focus blur for infrared radiation. An imaging system can be realized without any apochromatic lens.

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 image processing apparatus having a plurality of Bayer arrays each including 4 pixels sharing a common electrode connected to a vertical signal line wherein: each of the pixels has a pixel electrode connected to a horizontal signal line; and the location of each of the horizontal signal lines and the location of each of the pixel electrodes each connected to one of the horizontal signal lines are determined so that the locations in a neighboring Bayer array are a mirror image of counterpart locations in another Bayer array adjacent to the neighboring Bayer array.

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 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.

A single snapshot multi-frequency demodulation method for a modulated image obtained by modulating and summing one or more original components at different frequencies in a time domain or spatial domain, especially for a modulated image including multiple frequency components. AC and DC component values of each pixel at each frequency are extracted sequentially, and then an original AC and DC component image corresponding to each frequency is obtained. The method can be used in the time or spatial domain, can decompose multiple frequency component images using single measurement, has the advantages of fast speed, higher demodulation precision and good de-noising effect, meets the requirements for acquiring multiple pieces of frequency information at a time and overcomes inevitable errors in multiple measurements. Further, multiple pieces of image information can also be transmitted once using the demodulation method, so that parallel real-time transmission of the information in the communication field is realized.