An event detection module with a low-power, small-size CMOS image sensor with reference scaling
Author:
Publisher
Springer Science and Business Media LLC
Subject
Surfaces, Coatings and Films,Hardware and Architecture,Signal Processing
Link
http://link.springer.com/article/10.1007/s10470-019-01421-1/fulltext.html
Reference20 articles.
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2. Yin, C., Chiu, C. F., & Hsieh, C. C. (2016). A 0.5 V, 14.28-kframes/s, 96.7-dB smart image sensor with array-level image signal processing for IoT applications. IEEE Transactions on Electron Devices, 63(3), 1134–1140. https://doi.org/10.1109/Ted.2016.2521168 .
3. Gottardi, M., Massari, N., & Jawed, S. A. (2009). A 100 mu W 128 × 64 pixels contrast-based asynchronous binary vision sensor for sensor networks applications. IEEE Journal of Solid-State Circuits, 44(5), 1582–1592. https://doi.org/10.1109/Jssc.2009.2017000 .
4. Pardo, F., Boluda, J. A., & Vegara, F. (2015). Selective change driven vision sensor with continuous-time logarithmic photoreceptor and winner-take-all circuit for pixel selection. IEEE Journal of Solid-State Circuits, 50(3), 786–798. https://doi.org/10.1109/jssc.2014.2386899 .
5. Choi, B.-S., Shin, E., Bae, M., Kim, S.-H., Lee, J., Seo, S.-H., et al. (2017). A low-power CMOS image sensor based on variable frame rate operation. Journal of Semiconductor Technology and Science, 17(6), 854–861. https://doi.org/10.5573/jsts.2017.17.6.854 .
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