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17 May 2012 Extended motion adaptive signal integration technique for real-time image enhancement
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Fast moving cameras often generate distorted and blurred images characterized by reduced sharpness (due to motion blur) and insufficient dynamic range. Reducing sensor integration times to minimize blur are often used but the light intensity and image Signal-to-Noise-Ratio (SNR) would be reduced as well. We propose a Motion Adaptive Signal Integration (MASI) algorithm that operates the sensor at a high frame rate, with real time alignment of individual image frames to form an enhanced quality video output. This technique enables signal integration in the digital domain, allowing both high SNR performance and low motion blur induced by the camera motion. We also show, in an Extended MASI (EMASI) algorithm, that high dynamic range can be achieved by combining high frame rate images of varying exposures. EMASI broadens the dynamic range of the sensor and extends the sensitivity to work in low light and noisy conditions. In a moving platform, it also reduces static noise in the sensor. This technology can be used in aerial surveillance, satellite imaging, border securities, wearable sensing, video conferencing and camera phone imaging applications.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David C. Zhang, Michael Piacentino, and Sek Chai "Extended motion adaptive signal integration technique for real-time image enhancement", Proc. SPIE 8392, Signal Processing, Sensor Fusion, and Target Recognition XXI, 83921C (17 May 2012);


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