Computational optical sensing and imaging: introduction

The OSA Topical Meeting on Computational Optical Sensing and Imaging (COSI) was held June 25–June 28, 2018 in Orlando, Florida, USA, as part of the Imaging and Applied Optics Congress. In this feature issue, we present several papers that cover the techniques, topics, and advancements in the field presented at the COSI meeting highlighting the integration of opto-electric measurement and computational processing

Machine Learning-Based Signal Degradation Models for Attenuated Underwater Optical Communication OAM Beams

Signal attenuation in underwater communications is a problem that degrades classification performance. Several novel CNN-based (SMART) models are developed to capture the physics of the attenuation process. One model is built and trained using automatic differentiation and another uses the radon cumulative distribution transform. These models are inserted in the classifier training pipeline. It is shown that including these attenuation models in classifier training significantly improves classification performance when the trained model is tested with environmentally attenuated images. The improved classification accuracy will be important in future OAM underwater optical communication applications

Media 2: Limits of bootstrapping in a weak-signal holographic conjugator

Originally published in Applied Optics on 20 June 2014 (ao-53-18-3841