An information processing device including at least one processor, wherein the processor is configured to: acquire distance information indicating a projection distance, which is a distance from an image projection unit that projects a projection image onto a projection surface of a compression member to the projection surface, in a mammography apparatus that irradiates a breast compressed by the compression member with radiation to capture a radiographic image; and control the image projection unit such that the projection image having a size corresponding to the projection distance indicated by the distance information is projected onto the projection surface in a case in which the image projection unit projects the projection image at a magnification corresponding to the projection distance.

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.

A method for detecting light sources, including capturing an image including a sub-infrared light emitter, applying a filter to a pixel of the captured image to isolate a signal strength of a range of frequencies, and comparing the signal strength of the filtered pixel to an expected signal strength of a background spectra for the range of frequencies. As a result of a difference between the signal strength of the filtered pixel and the expected signal strength exceeding a predetermined threshold, the method includes identifying the pixel as corresponding to a light emitter. As a result of the difference between the signal strength of the filtered pixel and the expected signal strength not a predetermined threshold, the method includes identifying the pixel as not corresponding to a light emitter.

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 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.

An imaging apparatus includes an image-forming optical system that forms an image by using optical signals; an imaging device that includes a plurality of pixels, receives, with the plurality of pixels, the optical signals used to form the image, and converts the optical signals into electric signals; and a color filter that is located between the image-forming optical system and the imaging device and has a light transmittance which differs according to positions on the color filter corresponding to the plurality of pixels and according to a plurality of wavelength bands.

Disclosed is an image sensing device including a first module suitable for generating a plurality of interpolated images separated for each color channel, based on a raw image and a plurality of first convolution layers, a second module suitable for generating a plurality of refined images separated for each color channel, based on the plurality of interpolated images and a plurality of second convolution layers, and a third module suitable for generating at least one output image corresponding to the raw image, based on the plurality of refined images and a plurality of third convolution layers.

Disclosed is an image sensing device including a first module suitable for generating a plurality of interpolated images separated for each color channel, based on a raw image and a plurality of first convolution layers, a second module suitable for generating a plurality of refined images separated for each color channel, based on the plurality of interpolated images and a plurality of second convolution layers, and a third module suitable for generating at least one output image corresponding to the raw image, based on the plurality of refined images and a plurality of third convolution layers.

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.