Abstract: A method for processing streamed video from an imager that provides raw image data including input image frames. The method including: a) selecting segment data for two segments for each row of the input image frames using parameters for a desired image transformation; b) selecting step data containing information on how far to move in an input image frame before generating an output pixel and the location for the output pixel; c) receiving the input image frames from the imager in a streaming fashion, the image processor buffering rows of one of the input image frames; d) processing each of the buffered rows of one of the input image frames using the segment data and step data to map and modify the input pixels, interpolating to create one of the output image frames having output pixels; and e) repeating steps a)-d) for each row of each input image frame.

Abstract: A device and a corresponding system are disclosed. The device may comprise a display. Additionally, the device and/or system may be operable to detect stale images. Further, the stale images may be detected in devices and/or systems where incoming images—such as from an imager—are received at a frame rate different than that of the display. A controller may detect the stale images by assigning hash values to images of each frame displayed by the display; storing novel hash values in a memory; and maintaining a counter. The counter may be maintained such that assigning a repeat hash value increments the counter by one and assigning novel hash values resets the counter to zero. Further, the stale images may be determined based, at least in part, on the counter value.

Abstract: A device and a corresponding system are disclosed. The device may comprise a display. Additionally, the device and/or system may be operable to detect stale images. Further, the stale images may be detected in devices and/or systems where incoming images—such as from an imager—are received at a frame rate different than that of the display. A controller may detect the stale images by assigning hash values to images of each frame displayed by the display; storing novel hash values in a memory; and maintaining a counter. The counter may be maintained such that assigning a repeat hash value increments the counter by one and assigning novel hash values resets the counter to zero. Further, the stale images may be determined based, at least in part, on the counter value.

Abstract: A method for correcting image data includes receiving image data associated with an image captured by a photosensor array and determining a location of a target pixel in the photosensor array associated with a defect of the imager. First operating pixels are identified in a first region of the photosensor array that overlaps the location of the target pixel and second operating pixels are identified in a second region of the photosensor array that overlaps the location of the target pixel and a portion of the first region. A simulated pixel value is determined for the target pixel in response to a weighted average of the first operating pixels and the second operating pixels. The simulated pixel value is assigned to the target pixel in the image data.

Abstract: A device and a corresponding system are disclosed. The device may comprise a display. Additionally, the device and/or system may be operable to detect stale images. Further, the stale images may be detected in devices and/or systems where incoming images—such as from an imager—are received at a frame rate different than that of the display. A controller may detect the stale images by assigning hash values to images of each frame displayed by the display; storing novel hash values in a memory; and maintaining a counter. The counter may be maintained such that assigning a repeat hash value increments the counter by one and assigning novel hash values resets the counter to zero. Further, the stale images may be determined based, at least in part, on the counter value.