Abstract: Methods and systems for image processing are provided. A method for processing images of a scene includes receiving image data of a reference and a current frame; generating N motion vectors that describe motion of the image data within the scene by computing a correlation function on the reference and current frames at each of N registration points; registering the current frame based on the N motion vectors to produce a registered current frame; and updating the image data of the scene based on the registered current frame. Optionally, registered frames may be oversampled. Techniques for generating the N motion vectors according to roll, zoom, shift and optical flow calculations, updating image data of the scene according to switched and intermediate integration approaches, re-introducing smoothed motion into image data of the scene, re-initializing the process, and processing images of a scene and moving target within the scene are provided.

Abstract: A method and apparatus for processing imagery using images acquired via any known Electro-Optical (EO) system. In accordance with exemplary embodiments of the present invention, a first frame of data is selected as a template frame (e.g., a given frame). A second frame of data can be captured using the EO system. At least a portion of the second frame can be correlated with the template frame to generate a shift vector. The second frame can then be registered with the template frame by interpolating the second frame using the shift vector and re-sampling at least a portion of the second frame to produce a registered frame. The template frame can also be re-sampled. The registered frame and the re-sampled template frame can then be combined to generate an averaged frame. The averaged frame can be spatially filtered to enhance edges within the averaged frame.

Abstract: An approach for processing image data is described. The method comprises correcting a frame of image data received from a detector using existing correction coefficients that comprise a plurality of offset coefficients corresponding to a plurality of detector elements. The method also comprises calculating an update parameter for each detector element using pixel data generated from the correction. The update parameter for a given detector element is calculated from multiple difference values determined from a given pixel value of the pixel data and multiple adjacent pixel values. The given pixel value corresponds to the given detector element. Each difference value is determined by subtracting one of the multiple adjacent pixel values from the given pixel value. The method comprises identifying offset coefficients whose existing values are to remain unchanged based upon the update parameters and changing existing values of offset coefficients other than those identified to remain unchanged.

Abstract: An approach for processing image data is described. The method comprises correcting a frame of image data received from a detector using existing correction coefficients that comprise a plurality of offset coefficients corresponding to a plurality of detector elements. The method also comprises calculating an update parameter for each detector element using pixel data generated from the correction. The update parameter for a given detector element is calculated from multiple difference values determined from a given pixel value of the pixel data and multiple adjacent pixel values. The given pixel value corresponds to the given detector element. Each difference value is determined by subtracting one of the multiple adjacent pixel values from the given pixel value. The method comprises identifying offset coefficients whose existing values are to remain unchanged based upon the update parameters and changing existing values of offset coefficients other than those identified to remain unchanged.