Abstract: Electronically derotating a picture-in-picture video source can be used to independently derotate a secondary video source separate a primary video source. A method of electronically derotating a picture-in-picture image are described herein, the method comprising processing a first image having a first image primary axis; processing a second image having a second image primary axis; derotating the second image around the second image primary axis to align the second image primary axis substantially parallel with the first image primary axis; and displaying the first image and the second image on a display.

Abstract: A sensor data processing system and method performs segmentation and packing of image data from one or more ultra-high definition (UHD) image sensor for transport and processing by conventional high definition image data processing systems and pathways. The UHD image frames are segmented into a number of smaller frames and directed in parallel over the conventional HD pathways. Metadata is generated and directed along with the smaller frames. The metadata includes sufficient information for lossless reconstruction of the UHD image frames from the smaller frames.

Abstract: A system for processing video. The system may include a video camera, a processing unit, and a video display, the video camera being configured to generate a plurality of consecutive luminance frames, including a last frame and a plurality of preceding frames. The processing unit may be configured to: shift the plurality of preceding frames, to register the preceding frames with the last frame to form a plurality of shifted frames, take a Fourier transform of each of the plurality of frames, to form a corresponding plurality of initial Fourier transform frames, iteratively update the plurality of Fourier transform frames by, on the (n+1)th iteration of a plurality of iterations, replacing each Fourier transform frame with a linear combination of the Fourier transform frames of the nth iteration, the Fourier transform frames of the 0th iteration being the initial Fourier transform frames.

Abstract: System and method for image turbulence correction includes: receiving a plurality of consecutive image frames; demosaicing previous, current and preceding image frames into a plurality of same size overlapping video tiles; determining a displacement of each of the video tiles; converting the video tiles of the current image frame, the previous image frame, and the plurality of preceding image frames into a frequency domain; iteratively processing the video tiles of the previous image frame, the current image frame and the plurality of preceding image frames for turbulence correction in the frequency domain; converting the turbulence corrected video tiles into a spatial domain, wherein the converted turbulence corrected video tiles form a single video frame tile including turbulence degradation correction; and mosaicing the single video frame tiles including turbulence degradation correction together to generate a full field of view turbulence correct video stream.

Abstract: A sensor data processing system and method performs segmentation and packing of image data from one or more ultra-high definition (UHD) image sensor for transport and processing by conventional high definition image data processing systems and pathways. The UHD image frames are segmented into a number of smaller frames and directed in parallel over the conventional HD pathways. Metadata is generated and directed along with the smaller frames. The metadata includes sufficient information for lossless reconstruction of the UHD image frames from the smaller frames.

Abstract: A system for processing video. The system may include a video camera, a processing unit, and a video display, the video camera being configured to generate a plurality of consecutive luminance frames, including a last frame and a plurality of preceding frames. The processing unit may be configured to: shift the plurality of preceding frames, to register the preceding frames with the last frame to form a plurality of shifted frames, take a Fourier transform of each of the plurality of frames, to form a corresponding plurality of initial Fourier transform frames, iteratively update the plurality of Fourier transform frames by, on the (n+1)th iteration of a plurality of iterations, replacing each Fourier transform frame with a linear combination of the Fourier transform frames of the nth iteration, the Fourier transform frames of the 0th iteration being the initial Fourier transform frames.

Abstract: A system and method for image contrast enhancement using sub-segments. A coarse piecewise linear transform is formed based on the intensity distribution in an image, the segments of the piecewise linear transform selected to produce, when the piecewise linear transform is applied to the image, an improved intensity distribution, e.g., one approximating a Rayleigh distribution. A fine piecewise linear transform is formed by forming sub-segments at each of the breakpoints of the coarse piecewise linear transform.

Abstract: A system and method for image contrast enhancement using sub-segments. A coarse piecewise linear transform is formed based on the intensity distribution in an image, the segments of the piecewise linear transform selected to produce, when the piecewise linear transform is applied to the image, an improved intensity distribution, e.g., one approximating a Rayleigh distribution. A fine piecewise linear transform is formed by forming sub-segments at each of the breakpoints of the coarse piecewise linear transform.