1. Performance evaluation of a two detector camera for real-time video
- Author
-
Benjamin Lochocki, Adrián Gambín-Regadera, Pablo Artal, Biophotonics and Medical Imaging, and LaserLaB - Biophotonics and Microscopy
- Subjects
Image quality ,Computer science ,Materials Science (miscellaneous) ,02 engineering and technology ,01 natural sciences ,Industrial and Manufacturing Engineering ,010309 optics ,Computational photography ,Optics ,Camera auto-calibration ,Hadamard transform ,0103 physical sciences ,Computer vision ,SDG 7 - Affordable and Clean Energy ,Business and International Management ,Three-CCD camera ,business.industry ,Resolution (electron density) ,Detector ,021001 nanoscience & nanotechnology ,Real time video ,Artificial intelligence ,0210 nano-technology ,business ,Camera resectioning - Abstract
Single pixel imaging can be the preferred method over traditional 2D-array imaging in spectral ranges where conventional cameras are not available. However, when it comes to real-time video imaging, single pixel imaging cannot compete with the framerates of conventional cameras, especially when high-resolution images are desired. Here we evaluate the performance of an imaging approach using two detectors simultaneously. First, we present theoretical results on how low SNR affects final image quality followed by experimentally determined results. Obtained video framerates were doubled compared to state of the art systems, resulting in a framerate from 22 Hz for a 32 × 32 resolution to 0.75 Hz for a 128 × 128 resolution image. Additionally, the two detector imaging technique enables the acquisition of images with a resolution of 256 × 256 in less than 3 s.
- Published
- 2016