Systems in accordance with embodiments of the invention can perform parallax detection and correction in images captured using array cameras. Due to the different viewpoints of the cameras, parallax results in variations in the position of objects within the captured images of the scene. Methods in accordance with embodiments of the invention provide an accurate account of the pixel disparity due to parallax between the different cameras in the array, so that appropriate scene-dependent geometric shifts can be applied to the pixels of the captured images when performing super-resolution processing. In a number of embodiments, generating depth estimates considers the similarity of pixels in multiple spectral channels. In certain embodiments, generating depth estimates involves generating a confidence map indicating the reliability of depth estimates.

A fluorescence imaging system for imaging an object, the system includes a white light provider that emits white light, an excitation light provider that emits excitation light in a plurality of excitation wavebands for causing the object to emit fluorescent light, a component that directs the white light and excitation light to the object and collects reflected white light and emitted fluorescent light from the object, a filter that blocks light in the excitation wavebands and transmits at least a portion of the reflected white light and fluorescent light, and an image sensor assembly that receives the transmitted reflected white light and the fluorescent light.

A 3 MOS camera includes a first prism that has a first reflection film which reflects IR light that causes a first image sensor to receive the IR light, a second prism that has a second reflection film which reflects A % (A: a predetermined real number) visible light and that causes a second image sensor to receive the A % visible light, a third prism that causes a third image sensor to receive a (100−A) % visible light, and a video signal processor that combines a first video signal, a second video signal, and a third video signal of an observation part. The video signal processor performs pixel shifting on one of the second video signal and the third video signal having substantially same brightness to generate a fourth video signal and outputs a video signal obtained by combining the fourth video signal and the first video signal.

Digital camera systems and methods are described that provide a color digital camera with direct luminance detection. The luminance signals are obtained directly from a broadband image sensor channel without interpolation of RGB data. The chrominance signals are obtained from one or more additional image sensor channels comprising red and/or blue color band detection capability. The red and blue signals are directly combined with the luminance image sensor channel signals. The digital camera generates and outputs an image in YCrCb color space by directly combining outputs of the broadband, red and blue sensors.

Imaging systems providing high resolution, low light images with significant dynamic range are disclosed. The improvements to photo imaging sensors providing low costs and yet higher performance sensors may be obtained an enhanced photosensor generating a single color channel image per photosensor. The single color channel image contains luminence values corresponding to light focused onto the photosensor. The plurality of photosensors are constructed using Indium gallium nitride (InGaN) nanowire structures and nanopyrimid structures used in cells within an array of cells. Photosensors may be constructed as single color imaging devices as well as multi-color devices. The generation of various color channel images are controlled using metasurface filter structures as well as color filter layers setting a wavelength for absorbed light by controlling a concentration of indium gallium nitride (InGaN) within the color filter layers.

A linear matrix circuit generates a second R signal, a second G signal, and a second B signal by performing a matrix operation of a correction coefficient of 3 rows3 columns including first to third correction coefficients, fourth to sixth correction coefficients, and seventh to ninth correction coefficients on a first R signal, a first G signal, and a first B signal. An R coefficient corrector performs correction so that the first correction coefficient to be multiplied by the first R signal is caused to be close to 1 and the second and third correction coefficients to be respectively multiplied by the first G signal and the first B signal are caused to be close to 0, as a first difference value obtained by subtracting the first G signal from the first B signal increases when the first difference value exceeds a first threshold.

Systems in accordance with embodiments of the invention can perform parallax detection and correction in images captured using array cameras. Due to the different viewpoints of the cameras, parallax results in variations in the position of objects within the captured images of the scene. Methods in accordance with embodiments of the invention provide an accurate account of the pixel disparity due to parallax between the different cameras in the array, so that appropriate scene-dependent geometric shifts can be applied to the pixels of the captured images when performing super-resolution processing. In a number of embodiments, generating depth estimates considers the similarity of pixels in multiple spectral channels. In certain embodiments, generating depth estimates involves generating a confidence map indicating the reliability of depth estimates.

A system, method, and computer program product for generating a digital image is disclosed. In use, a first image is received from a first image sensor, where the first image sensor detects visible light color, and a second image and a third image are received from a second image sensor, where the second image sensor detects non-visible light intensity. Using an image processing subsystem, a resulting image is generated by combining the first image, the second image, and the third image, where at least one of the first image, the second image, or the third image is sampled under strobe illumination.

Systems and methods for implementing array cameras configured to perform super-resolution processing to generate higher resolution super-resolved images using a plurality of captured images and lens stack arrays that can be utilized in array cameras are disclosed. An imaging device in accordance with one embodiment of the invention includes at least one imager array, and each imager in the array comprises a plurality of light sensing elements and a lens stack including at least one lens surface, where the lens stack is configured to form an image on the light sensing elements, control circuitry configured to capture images formed on the light sensing elements of each of the imagers, and a super-resolution processing module configured to generate at least one higher resolution super-resolved image using a plurality of the captured images.

An electronic device includes a lens, an optical filter asymmetric to an optical axis of the lens, and an image sensor including a visible light image sensor and a non-visible light image sensor. The optical filter has an opening and is configured to transmit visible light and block at least one type of non-visible light. The visible light image sensor is configured to sense the visible light and the non-visible light image sensor is configured to sense the at least one type of non-visible light.