An image capturing apparatus comprises a plurality of light-receiving circuits, each outputting a pulse signal in response to a photon being incident; a plurality of counter circuits that count the respective pulse signals output by the plurality of light-receiving circuits; and a correction circuit that corrects counts from the plurality of counter circuits and outputs the corrected counts as image data. The correction circuit calculates a correction coefficient on the basis of counts obtained by the plurality of counter circuits in a state where pulse widths of the pulse signals differ or under conditions where generation frequencies of the pulse signals differ, and performs the correction using the correction coefficient.

An electronic device includes one or more processors and memory storing instructions for execution by the one or more processors. The stored instructions include instructions for: receiving infrared image information for a three-dimensional area; receiving non-infrared image information for the same three-dimensional area; performing nonlinear intensity adjustment for the received infrared image information; performing nonlinear intensity adjustment for the received non-infrared image information; blending the intensity-adjusted infrared image information and the intensity-adjusted non-infrared image information to obtain a merged image information; and providing the merged image information for determining a depth map. Also disclosed are a corresponding method performed by the electronic device and a computer readable storage medium storing instructions for execution by one or more processors of an electronic device.

A calibrating device of calibrating a real-time image through a dithering process including a receiving unit, a storing unit, a displacing module, a computing module, and an outputting unit is disclosed. The receiving unit receives a real-time image from an image sensor and records a time parameter of the image. The storing unit stores a hash table that records multiple hash values used to calibrate the image. The displacing module shifts the multiple hash values in the hash table to generate an adjusted hash table. The computing module obtains a corresponding hash value from the adjusted hash table for each pixel point of the image in accordance with the coordinates of each pixel point, and respectively adds the corresponding hash value to the pixel value of each pixel point of the image to generate a calibrated image. The outputting unit outputs the calibrated image.

The present embodiment relates to a dual lens drive device that comprises: a housing; a first bobbin which is disposed to move in a first direction inside the housing; a second bobbin which is disposed to move in the first direction inside housing and is spaced apart from the first bobbin; a first coil which is disposed on the first bobbin; a second coil which is disposed on the second bobbin; a magnet which is disposed in the housing and faces the first coil and the second coil; a base which is disposed below the housing; a substrate which comprises a circuit member having a third coil disposed to face the magnet between the housing and the base; and a support member which movably supports the housing with respect to the substrate, wherein the housing is integrally formed.

Techniques for facilitating unit cell selection verification systems and methods are provided. In one example, a method includes detecting, by each detector of a focal plane array (FPA), electromagnetic radiation. Each detector is selectively coupled to a readout circuit of the FPA via a selection circuit of the FPA. The method further includes, during a frame period, applying a predetermined signal pattern to a portion of the selection circuit, where the portion is associated with a subset of detectors of the FPA, and performing a readout of the FPA to obtain a respective output signal associated with each respective detector of the FPA. The method further includes determining whether the portion of the selection circuit is operating properly based at least on the output signal associated with the detectors of the subset from the readout. Related systems and devices are also provided.

Disclosed is an image sensing device including a plurality of selectors suitable for generating a plurality of selected pixel signals corresponding to one of a plurality of pixel signals; a plurality of signal converters suitable for: setting a plurality of initial voltages which are different from one another, on the basis of a plurality of initialization signals during an initialization period, and generating a plurality of converted pixel signals to which the plurality of initial voltages are respectively reflected, on the basis of the plurality of selected pixel signals and a ramp signal during a readout period; and a calculation circuit suitable for averaging the plurality of converted pixel signals.

A non-uniformity correction (NUC) calibration method comprises obtaining image data for a plurality of images with an image sensor, wherein each image in the plurality of images is obtained at a different respective global pixel gain setting and global expose in the image sensor; and using the image data for non-uniformity correction calibration to compute pixel NUC values for the pixels in the image sensor. The method can further include storing the pixel NUC values and obtaining further image data corrected by the stored pixel NUC values. In embodiments, the method can include moving a platform based on the further image data. In certain embodiments, the platform can be a guided munition.

Disclosed are improved methods, systems and devices for color night vision that reduce the number of intensifiers and/or decrease noise. In some embodiments, color night vision is provided in system in which multiple spectral bands are maintained, filtered separately, and then recombined in a unique three-lens-filtering setup. An illustrative four-camera night vision system is unique in that its first three cameras separately filter different bands using a subtractive Cyan, Magenta and Yellow (CMY) color filtering-process, while its fourth camera is used to sense either additional IR illuminators or a luminance channel to increase brightness. In some embodiments, the color night vision is implemented to distinguish details of an image in low light. The unique application of the three-lens subtractive CMY filtering allows for better photon scavenging and preservation of important color information.

Disclosed are improved methods, systems and devices for color night vision that reduce the number of intensifiers and/or decrease noise. In some embodiments, color night vision is provided in system in which multiple spectral bands are maintained, filtered separately, and then recombined in a unique three-lens-filtering setup. An illustrative four-camera night vision system is unique in that its first three cameras separately filter different bands using a subtractive Cyan, Magenta and Yellow (CMY) color filtering-process, while its fourth camera is used to sense either additional IR illuminators or a luminance channel to increase brightness. In some embodiments, the color night vision is implemented to distinguish details of an image in low light. The unique application of the three-lens subtractive CMY filtering allows for better photon scavenging and preservation of important color information.

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.