A Bit Too Much? High Speed Imaging from Sparse Photon Counts

被引：14

作者：

Chandramouli, Paramanand ^{[1
]}

Burri, Samuel ^{[2
]}

Bruschini, Claudio ^{[2
]}

Charbon, Edoardo ^{[2
]}

Kolb, Andreas ^{[1
]}

机构：

[1] Univ Siegen, Siegen, Germany

[2] Swiss Fed Inst Technol EPFL, Neuchatel, Switzerland

来源：

2019 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL PHOTOGRAPHY (ICCP) | 2019年

关键词：

Photon Counting Sensors; SPAD Imaging; Convolutional Neural Network; High Speed Imaging;

D O I：

10.1109/iccphot.2019.8747325

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Recent advances in photographic sensing technologies have made it possible to achieve light detection in terms of a single photon. Photon counting sensors are being increasingly used in many diverse applications. We address the problem of jointly recovering spatial and temporal scene radiance from very few photon counts. Our ConvNet-based scheme effectively combines spatial and temporal information present in measurements to reduce noise. We demonstrate that using our method one can acquire videos at a high frame rate and still achieve good quality signal-to-noise ratio. Experiments show that the proposed scheme performs quite well in different challenging scenarios while the existing approaches are unable to handle them.

引用

页数：9