An image processor according to the present disclosure includes: an image segmentation processing section to generate a plurality of first map data on the basis of first image map data including a plurality of pixel values, the plurality of first map data having arrangement patterns of pixel values different from each other and including pixel values located at positions different from each other; an interpolation processing section to generate a plurality of second map data by determining a pixel value at a position where no pixel value is present in each of the plurality of first map data with use of interpolation processing; and a synthesis processing section to generate third map data by generating, on the basis of pixel values at positions corresponding to each other in the plurality of second map data, a pixel value at a position corresponding to the positions.

A method for image processing includes the following. A first image is obtained by exposing the pixel array. A second image is obtained by converting the panchromatic image pixels in the first image into first-color image pixels. A third image is obtained by converting the second-color image pixel and the third-color image pixel in the second image into first-color image pixels. A second-color intermediate image and a third-color intermediate image are obtained by processing the third image according to the first image. A target image is obtained by merging the third image, the second-color intermediate image, and the third-color intermediate image.

Dual-aperture digital cameras with auto-focus (AF) and related methods for obtaining a focused and, optionally optically stabilized color image of an object or scene. A dual-aperture camera includes a first sub-camera having a first optics bloc and a color image sensor for providing a color image, a second sub-camera having a second optics bloc and a clear image sensor for providing a luminance image, the first and second sub-cameras having substantially the same field of view, an AF mechanism coupled mechanically at least to the first optics bloc, and a camera controller coupled to the AF mechanism and to the two image sensors and configured to control the AF mechanism, to calculate a scaling difference and a sharpness difference between the color and luminance images, the scaling and sharpness differences being due to the AF mechanism, and to process the color and luminance images into a fused color image using the calculated differences.

Example methods, apparatuses, and/or articles of manufacture are disclosed that may be implemented, in whole or in part, techniques to process pixel values sampled from a multi color channel imaging device. In particular, methods and/or techniques to process pixel samples for non-visible light from pixels allocated to detection of infrared light are disclosed.

Techniques are described for efficient staggered high-dynamic-range (HDR) output of an image captured using a high-pixel-count image sensor based on pixel binning followed by luminance-guided upsampling. For example, an image sensor array is configured according to a red-green-blue-luminance (RGBL) CFA pattern, such that at least 50-percent of the imaging pixels of the array are luminance (L) pixels. In each image capture time window, multiple (e.g., three) luminance-enhanced (LE) component images are generated. Each LE component image is generated by exposing the image sensor to incident illumination for a respective amount of time, using pixel binning during readout to generate appreciably downsampled color and luminance capture frames, generating an upsampled luminance guide frame from the luminance capture frame, and using the upsampled luminance guide frame to guide upsampling (e.g., and remosaicking) of the color capture frame. The resulting LE components images can be digitally combined to generate an HDR output image.

There is provided in one embodiment an apparatus having an image sensor array. In one embodiment, the image sensor array can include monochrome pixels and color sensitive pixels. The monochrome pixels can be pixels without wavelength selective color filter elements. The color sensitive pixels can include wavelength selective color filter elements.

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.

A method of creating a multispectral decorrelation model for use in determining a visible image from a multispectral image captured using a multispectral image sensor, the method comprising the steps of: generating, using a plurality of quantum efficiency curves for the multispectral image sensor and a plurality of synthetic light spectrum vectors, a grid of synthetic multispectral pixel values and a corresponding grid of synthetic visible pixel values, wherein each synthetic visible pixel value is substantially decorrelated from a non-visible component of a corresponding synthetic multispectral pixel value; and determining a multispectral decorrelation model using the grid of synthetic multispectral pixel values and the corresponding grid of synthetic visible pixel values, wherein the multispectral decorrelation model in use maps a multispectral pixel value of the multispectral image to a visible pixel value of the visible image.

For example, in order to enable an RCCB sensor or a specific optical system to perform an appropriate image correction process (distortion correction and the like), an imaging device includes an imaging element, an optical system configured to form an image on an imaging surface of the imaging element and has a characteristic in which an image formation magnification differs depending on a position in the imaging surface, a demosaic unit configured to generate color image data of at least two colors from the data output from the imaging element, and a distortion correction unit configured to correct distortion of the color image data of at least two colors generated by the demosaic unit.

An image-capturing device includes: an image sensor that includes an image capturing area where an image of a subject is captured; a setting unit that sets image capturing conditions to be applied to the image-capturing area; a selection unit that selects pixels to be used for interpolation from pixels present in the image-capturing area; and a generation unit that generates an image of the subject captured in the image-capturing area with signals generated through interpolation executed by using signals output from the pixels selected by the selection unit, wherein: the selection unit makes a change in selection of at least some of the pixels to be selected depending upon the image-capturing conditions set by the setting unit.