Systems and methods are disclosed herein to detect pixels exhibiting anomalous behavior in captured image frames. In some examples, temporal anomalous behavior may be identified, such as flickering pixels exhibiting large magnitude changes in pixel values that vary rapidly from frame-to-frame. In some examples, spatial anomalous behavior may be identified, such as pixels exhibiting values that deviate from an expected linear response in comparison with other neighbor pixels.

A gain adjustment unit calculates a total sum of analog gains on a way from photoelectric conversion output of an image pickup device to input of an analog/digital conversion circuit with use of picked-up images provided from the analog/digital conversion circuit, the analog/digital conversion circuit being configured to convert an output of an analog processing section into a digital signal, the analog processing section being configured to transmit and amplify an image pickup signal from the image pickup device, the image pickup device being provided at an insertion portion of an endoscope, and determines, as an adjustment gain, a difference between a target value of a total sum of gains and the total sum of the analog gains, and output information.

An imaging system whose Field of View FOV experiences occasional motion in relation to viewed scenes may be configured to reduce Fixed Pattern Noise (FPN) of acquired image data. FPN may be reduced by developing a pixel by pixel FPN correction term through a series of steps including blurring the image, identifying pixels to exclude from some calculations, a motion detector and an FPN updater for frames under motion and an FPN decay element for frames that are still.

A method, including receiving signals, from a rectangular array of sensor elements arranged in rows and columns, corresponding to an image captured by the array. The method also includes analyzing the signals along a row or a column to identify one or more local turning points, and processing the signals at the identified local turning points to recognize fixed pattern noise in the captured image. The method further includes correcting values of the signals from the sensor elements at the identified local turning points so as to reduce the fixed pattern noise in the image.

The present disclosure generally relates to systems and methods for image data processing. In certain embodiments, an image processing pipeline may be configured to receive a frame of the image data having a plurality of pixels acquired using a digital image sensor. The image processing pipeline may then be configured to determine a first plurality of correction factors that may correct each pixel in the plurality of pixels for fixed pattern noise. The first plurality of correction factors may be determined based at least in part on fixed pattern noise statistics that correspond to the frame of the image data. After determining the first plurality of correction factors, the image processing pipeline may be configured to configured to apply the first plurality of correction factors to the plurality of pixels, thereby reducing the fixed pattern noise present in the plurality of pixels.

The present disclosure generally relates to systems and methods for image data processing. In certain embodiments, an image processing pipeline may be configured to receive a frame of the image data having a plurality of pixels acquired using a digital image sensor. The image processing pipeline may then be configured to determine a first plurality of correction factors that may correct each pixel in the plurality of pixels for fixed pattern noise. The first plurality of correction factors may be determined based at least in part on fixed pattern noise statistics that correspond to the frame of the image data. After determining the first plurality of correction factors, the image processing pipeline may be configured to configured to apply the first plurality of correction factors to the plurality of pixels, thereby reducing the fixed pattern noise present in the plurality of pixels.

Multi-cameras and in particular dual-cameras comprising a Wide camera comprising a Wide lens and a Wide image sensor, the Wide lens having a Wide effective focal length EFLw and a folded Tele camera comprising a Tele lens with a first optical axis, a Tele image sensor and an OPFE, wherein the Tele lens includes, from an object side to an image side, a first lens element group G1, a second lens element group G2 and a third lens element group G3, wherein at least two of the lens element groups are movable relative to the image sensor along the first optical axis to bring the Tele lens to two zoom states, wherein an effective focal length (EFL) of the Tele lens is changed from EFL.sub.T,.sub.min in one zoom state to EFL.sub.T,max in the other zoom state, wherein EFL.sub.Tmin > 1.5 x EFLw and wherein EFL.sub.Tmax > 1.5 x EFL.sub.Tmin.

Various techniques are provided for implementing, operating, and manufacturing infrared imaging devices using integrated circuits. In one example, a system includes a focal plane array (FPA) integrated circuit comprising an array of infrared sensors adapted to image a scene, a plurality of active circuit components, a first metal layer disposed above and connected to the circuit components, a second metal layer disposed above the first metal layer and connected to the first metal layer, and a third metal layer disposed above the second metal layer and below the infrared sensors. The third metal layer is connected to the second metal layer and the infrared sensors. The first, second, and third metal layers are the only metal layers of the FPA between the infrared sensors and the circuit components. The first, second, and third metal layers are adapted to route signals between the circuit components and the infrared sensors.

Apparatuses and methods for reducing vertical fixed pattern noise in imaging systems are disclosed herein. An example apparatus may include an analog dithering circuit coupled to randomly add an offset voltage to a first reference voltage in response to a random binary signal during an analog to digital conversion operation, and a ramp generator circuit coupled to receive the first reference voltage, and provide a second reference voltage in response, wherein the randomly added offset voltage to the first reference is also present in the second reference voltage.

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.