A system and method for correcting nonuniformity in far-infrared (FIR) images captured by a shutterless FIR camera. The method includes determining a noise of a current image based on updating a noise estimate of a previous image with a noise estimate of a current image; determining a weight mask matrix of the current image, where the weight matrix includes high values corresponding to pixels of the current image in which noise estimation is facilitated, and low values corresponding to pixels of the current image in which noise estimation is inhibited; applying the weight mask matrix to the current image; and correcting the nonuniformity of the current image incrementally based on the determined noise of current image and the applied weight mask matrix.

A camera system and methods of enhancing images using direct measurement of angular displacement are disclosed. The camera system includes an optical element, a focal plane array (FPA), a motion sensor and a processor. The FPA has pixels sensing image pixel data from the optical element. The pixels have an angular resolution dependent upon a configuration of the optical element and a dimension of the pixels. The pixels detect electromagnetic waves having a wavelength within a range from 800 nanometers to 20 micrometers. The motion sensor senses angular displacement in 3D. The processor receives the image pixel data generated at distinct first instants of time during an image capture period from the FPA and motion reading(s) during the image capture period, converts the motion readings into angular displacement of the FPA, and selects an image processing algorithm to generate at least one image enhancement for the image pixel data.

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.

A method of determining a temperature of an element in a scene includes providing a set of targets each characterized by a target temperature and measuring pixel output values for pixels in a detector array for the targets in the set of targets. Measuring pixel output values is performed at a plurality of detector temperatures. The method also includes mapping each pixel output value to one of a plurality of constant values, each of the plurality of constant values being associated with one of the target temperatures, assembling a scene temperature profile using the mapped pixel output values, and obtaining an image of the scene including the element, wherein the element is associated with a pixel of the detector array. The method further includes determining a pixel value associated with the element and computing the temperature of the element using the scene temperature profile.

A method of performing non-uniformity correction for an imaging system includes receiving image data from a detector. The method also includes retrieving stored correction coefficients from the memory. The method also includes retrieving a stored factory calibration reference frame. The method also includes acquiring an operational calibration reference frame. The method also includes computing updated correction coefficients based on the stored correction coefficients, the stored factory calibration reference frame, and the operational calibration reference frame. The method also includes computing the non-uniformity correction based on the updated correction coefficients. The method also includes forming a corrected image by applying the non-uniformity correction to the image data. The method further includes outputting the corrected image.

A noise data update processing unit calculates the amount of a fixed pattern noise component on the basis of a detection signal of infrared rays detected by an infrared detector in a state where an optical system is controlled to be in a non-focused state, and updates an FPN data storage unit with the calculated amount of the FPN component. The noise data update processing unit calculates an average value of detection signals of each detector element and a plurality of peripheral detector elements, and calculates a signal component dependent on incident infrared rays included in the detection signal of each detector element by subtracting an average value of fixed pattern noise data before update from the calculated average value. The amount of the fixed pattern noise component is calculated by subtracting the calculated signal component from the detection signal of each detector element.

A system and method for correcting fixed pattern noise in far-infrared (FIR) images captured by a shutterless FIR camera. The method includes: determining a drift coefficient based on previously determined calibration values and high pass filter values applied to an input FIR image captured by the shutterless FIR camera; smoothing the drift coefficient based, in part, on previously computed drift coefficient values; and removing noise from the input image based on the smoothed drift coefficient value.

A photoelectric conversion apparatus comprises a photoelectric conversion element including an avalanche photodiode for photoelectrically converting an optical image; an image generating unit configured to generate a first image based on a signal that has been acquired by the photoelectric conversion element; an acquisition unit configured to acquire first characteristic information of the photoelectric conversion element; a first correction processing unit configured to perform first correction processing for correcting linearity of the first image using the first characteristic information; and a second correction processing unit configured to perform second correction processing for performing interpolation based on the first characteristic information and information of the first image.

Hyperspectral, fluorescence, and laser mapping 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 pulses of electromagnetic radiation emitted by the emitter comprises one or more of: electromagnetic radiation having a wavelength from about 513 nm to about 545 nm, from about 565 nm to about 585 nm, from about 900 nm to about 1000 nm, an excitation wavelength of electromagnetic radiation that causes a reagent to fluoresce, or a laser mapping pattern.

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.