دورية أكاديمية
A photosensor employing data-driven binning for ultrafast image recognition
| العنوان: | A photosensor employing data-driven binning for ultrafast image recognition |
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| المؤلفون: | Lukas Mennel, Aday J. Molina-Mendoza, Matthias Paur, Dmitry K. Polyushkin, Dohyun Kwak, Miriam Giparakis, Maximilian Beiser, Aaron Maxwell Andrews, Thomas Mueller |
| المصدر: | Scientific Reports, Vol 12, Iss 1, Pp 1-7 (2022) |
| بيانات النشر: | Nature Portfolio, 2022. |
| سنة النشر: | 2022 |
| المجموعة: | LCC:Medicine LCC:Science |
| مصطلحات موضوعية: | Medicine, Science |
| الوصف: | Abstract Pixel binning is a technique, widely used in optical image acquisition and spectroscopy, in which adjacent detector elements of an image sensor are combined into larger pixels. This reduces the amount of data to be processed as well as the impact of noise, but comes at the cost of a loss of information. Here, we push the concept of binning to its limit by combining a large fraction of the sensor elements into a single “superpixel” that extends over the whole face of the chip. For a given pattern recognition task, its optimal shape is determined from training data using a machine learning algorithm. We demonstrate the classification of optically projected images from the MNIST dataset on a nanosecond timescale, with enhanced dynamic range and without loss of classification accuracy. Our concept is not limited to imaging alone but can also be applied in optical spectroscopy or other sensing applications. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2045-2322 |
| Relation: | https://doaj.org/toc/2045-2322 |
| DOI: | 10.1038/s41598-022-18821-5 |
| URL الوصول: | https://doaj.org/article/740eaf06d5d24adca86d42cd551d6cfd |
| رقم الأكسشن: | edsdoj.740eaf06d5d24adca86d42cd551d6cfd |
| قاعدة البيانات: | Directory of Open Access Journals |
Find this article in full text from Springer Verlag. 
Full Text Finder | تدمد: | 20452322 |
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| DOI: | 10.1038/s41598-022-18821-5 |