Abstract
We propose a image reconstruction method and a sensor for high-sensitivity imaging using long-term exposed green pixels over several frames. As a result of extending the exposure time of green pixels, motion blur increases. We use motion information detected from high-frame-rate red and blue pixels to remove the motion blur. To implement this method, both long- and short-term exposed pixels are arranged in a checkerboard pattern on a single-chip image sensor. Using the proposed method, we improved fourfold the sensitivity of the green pixels without any motion blur.
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Ugawa, S., Azuma, T., Imagawa, T., Okada, Y. (2011). Image Reconstruction for High-Sensitivity Imaging by Using Combined Long/Short Exposure Type Single-Chip Image Sensor. In: Kimmel, R., Klette, R., Sugimoto, A. (eds) Computer Vision – ACCV 2010. ACCV 2010. Lecture Notes in Computer Science, vol 6494. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19318-7_50
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DOI: https://doi.org/10.1007/978-3-642-19318-7_50
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