تقرير
Real-time division-of-focal-plane polarization imaging system with progressive networks
| العنوان: | Real-time division-of-focal-plane polarization imaging system with progressive networks |
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| المؤلفون: | Wu, Rongyuan, Zhao, Yongqiang, Li, Ning, Kong, Seong G. |
| سنة النشر: | 2021 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition |
| الوصف: | Division-of-focal-plane (DoFP) polarization imaging technical recently has been applied in many fields. However, the images captured by such sensors cannot be used directly because they suffer from instantaneous field-of-view errors and low resolution problem. This paper builds a fast DoFP demosaicing system with proposed progressive polarization demosaicing convolutional neural network (PPDN), which is specifically designed for edge-side GPU devices like Navidia Jetson TX2. The proposed network consists of two parts: reconstruction stage and refining stage. The former recovers four polarization channels from a single DoFP image. The latter fine-tune the four channels to obtain more accurate polarization information. PPDN can be implemented in another version: PPDN-L (large), for the platforms of high computing resources. Experiments show that PPDN can compete with the best existing methods with fewer parameters and faster inference speed and meet the real-time demands of imaging system. Comment: Submit to IEEE Sensors Journal |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2110.13823 |
| رقم الأكسشن: | edsarx.2110.13823 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |