Computationally efficient contrast enhancement algorithm suitable for real-time digital hardware

Common infrared video imagery can experience large variations in signal level across different portions of a scene. Global image processing techniques are not capable of using standard displays to show both large variations and detail within individual regions of interest. For this reason, local image processing approaches have been developed to increase contrast in localized areas. These are typically high latency, post-video techniques targeted for specific applications. We have developed a unique video processing approach that has near-zero latency and is not computationally intensive, so imagery can be processed and displayed for real-time human observation using minimal hardware. Local scaling factors are computed using a flexible distribution technique, allowing adjustable levels of sensitivity and local detail enhancement.