Dehazed images are produced based on an atmospheric light image obtained form an input image as brightest pixels of a predetermined window and white map. The white map is median filtered, morphologically filtered and, in some examples, filtered with a guided filter, and the filtered image combined with the atmospheric light image to produce a dehazed image.

An image processing system includes a memory configured to store a plurality of reference images used for image quality tuning, an image signal processor configured to receive a plurality of captured images corresponding to the plurality of reference images and configured to generate a plurality of corrected images by being configured to perform a corresponding image processing operation among a plurality of image processing operations, and a tuning module configured to set parameters of the plurality of image processing operations based on the plurality of corrected images and the plurality of reference images.

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.

The infrared imaging device includes an optical system, an infrared detector that captures an infrared image, a correction unit that corrects an infrared image based on basic correction data and outputs a corrected image, and an offset value calculation unit. The offset value calculation unit detects a subject region from the corrected image, calculates a subject value indicating a pixel value of a subject region, and calculates a subject value change amount which is a change amount of a pixel value of the subject region based on the reference subject value and the calculated subject value, and calculates the subject value change amount, as a representative offset value indicating a change amount of each pixel value of a plurality of pixels caused by a temperature change.

Imaging systems and methods are disclosed that use locally flat scenes to adjust image data. An imaging system includes an array of photodetectors configured to produce an array of intensity values corresponding to light intensity at the photodetectors. The imaging system can be configured to acquire a frame of intensity values, or an image frame, and analyze the image frame to determine if it is locally flat. If the image frame is locally flat, then that image data can be used to determine gradients present in the image frame. An offset mask can be determined from the image data and that offset mask can be used to adjust subsequently acquired image frames to reduce or remove gradients.

Examples provide a compact, dynamic non-uniformity correction mechanism and counter-countermeasure mechanism. In one example an optical imaging system includes an imaging sensor configured to receive optical radiation and to produce an image of a viewed scene from the optical radiation, an optical train including at least one optical component configured to receive the optical radiation from the viewed scene and to focus the optical radiation to the imaging sensor, and an acousto-optic modulator positioned in the optical train and having an ON state and an OFF state, the acousto-optic modulator being configured in the OFF state to pass the optical radiation, and the acousto-optic modulator being configured in the ON state to diffract the optical radiation and blur the image produced by the imaging sensor from the diffracted optical radiation.

A signal component amount calculation unit calculates dispersion or standard deviation of multiple times of infrared detection signals detected by each detector element to be processed, and calculates the amount of a signal component dependent on infrared rays incident on the infrared detector included in the infrared detection signals, on the basis of the calculated dispersion or standard deviation. A fixed pattern noise calculation unit calculates the amount of a fixed pattern noise component on the basis of the infrared detection signals and the calculated amount of a signal component. A data update unit updates the fixed pattern noise data with the calculated amount of a fixed pattern noise component.

Examples provide a compact, dynamic non-uniformity correction mechanism and counter-countermeasure mechanism. In one example an optical imaging system includes an imaging sensor configured to receive optical radiation and to produce an image of a viewed scene from the optical radiation, an optical train including at least one optical component configured to receive the optical radiation from the viewed scene and to focus the optical radiation to the imaging sensor, and an acousto-optic modulator positioned in the optical train and having an ON state and an OFF state, the acousto-optic modulator being configured in the OFF state to pass the optical radiation, and the acousto-optic modulator being configured in the ON state to diffract the optical radiation and blur the image produced by the imaging sensor from the diffracted optical radiation.

A method for producing a calibrated radiometric image by un calibrated or partly calibrated thermal imaging device, the method comprising a steps of capturing first and second images on different sets of capturing conditions, obtaining motion matrix characterizing difference between said sets of capturing conditions, obtaining point spread function matrices characterizing a blur condition of said first and second images and obtaining system gain, and calculating a drift by inverting said system gain, motion and point spread function matrices; and calculating a calibrated image by inverting said system gain, motion, point spread function matrices and said first and second images.

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.