Techniques for facilitating non-uniformity correction calibrations are provided. In one example, an infrared imaging system includes an infrared imager and a logic device. The infrared imager is configured to capture a first set of infrared images of a reference object using a first integration time. The infrared imager is further configured to capture a second set of infrared images of the reference object using a second integration time different from the first integration time. The logic device is configured to determine a dark current correction map based on the second set of infrared images. The logic device is further configured to generate a non-uniformity correction map based on the dark current correction map. Related devices and methods are also provided.

An apparatus includes an acquisition unit configured to acquire distance information that indicates a distance to a subject on each predetermined region in a captured image, a control unit configured to adjust a focus position, and a storage unit configured to store first distance information acquired by the acquisition unit in response to the adjusted focus position. The control unit readjusts the focus position based on the first distance information and second distance information acquired by the acquisition unit.

An apparatus includes an acquisition unit configured to acquire distance information that indicates a distance to a subject on each predetermined region in a captured image, a control unit configured to adjust a focus position, and a storage unit configured to store first distance information acquired by the acquisition unit in response to the adjusted focus position. The control unit readjusts the focus position based on the first distance information and second distance information acquired by the acquisition unit.

An image processing device includes a target pixel detector configured to detect a plurality of target pixels in which noise is generated among a plurality of pixels included in an image sensor. The image processing device also includes a target pixel corrector configured to change target pixel values, which are pixel values of the plurality of target pixels, by using average pixel values of neighboring pixels included in a preset range based on a position of each of the plurality of target pixels. The image processing device further includes a target pixel compensator configured to compensate for the target pixel values by using an accumulation value obtained by accumulating values corresponding to a decimal fraction part of the average pixel values.

Some examples described herein include a noise-reduction circuit for an image sensor. The noise-reduction circuit can include a reference frame generator configured to generate a reference frame based on a set of image frames received from an image sensor during a calibration phase. The noise-reduction circuit can also include a memory coupled to the reference frame generator. The memory can receive the reference frame from the reference frame generator and store the reference frame for subsequent use during a noise-reduction phase. The noise-reduction circuit can further include a processor coupled to the memory. The processor can retrieve the reference frame from the memory and use the reference frame to reduce noise in an image frame received from the image sensor during the noise-reduction phase.

Methods and apparatus are disclosed for reducing an amount of fixed pattern noise from sequential frames captured by IR imaging sensor(s) that contain known continuous motion component(s). Improved scene based non-uniformity correction techniques are employed for recursively updated set of pixel correction terms for each frame, in order to generate corrected frames. The set of pixel correction terms may be recursively updated through a multi-step process making use of the known continuous motion component, which may comprise a dithered signal.

An exemplary method implements fixed pattern noise compensation for captured visual images of a moving scene. A current X-by-Y frame of image values captured by a camera is stored in memory where the magnitude of each image value represents a light level associated with a respective X-by-Y position in the frame. A moving average value for each image value over a number of X-by-Y frames is determined where the moving average value for each X-by-Y image value represents a level of fixed pattern noise for the moving scene. X-by-Y frames with fixed pattern noise compensated image values are generated based on subtracting from each image value of the current X-by-Y frame the corresponding moving average value.

Fluorescence imaging with reduced fixed pattern noise is disclosed. A method includes actuating an emitter to emit a plurality of pulses of electromagnetic radiation and sensing reflected electromagnetic radiation resulting from the plurality of pulses of electromagnetic radiation with a pixel array of an image sensor. The method includes reducing fixed pattern noise in an exposure frame by subtracting a reference frame from the exposure frame. The method is such that at least a portion of the plurality of pulses of electromagnetic radiation emitted by the emitter comprises electromagnetic radiation having a wavelength from about 795 nm to about 815 nm.

A method for testing defocus of a camera includes providing a vehicular camera and providing a defocus tester that includes a first target disposed behind an optic and a second target that is not disposed behind the optic. The first target has a simulated image distance relative to the vehicular camera that is different than an actual image distance. The method includes positioning the defocus tester relative to the vehicular camera such that the vehicular camera views the defocus tester and images (i) light that has reflected off the first target and passed through the optic and (ii) light that has reflected off the second target and not passed through the optic. The method includes capturing image data with the vehicular camera that is representative of the first target and the second target and estimating a defocus of the vehicular camera responsive to processing the image data.

The image processing apparatus 104 includes a processor performing a noise reduction on at least part of an input image produced by image capturing using an image capturing system 101, 102, and an acquirer acquiring first information on an optical characteristic of the image capturing system. The optical characteristic indicates a factor that degrades information of an object space in the image capturing of the input image. A processor changes a process of the noise reduction depending on the first information.