Demultiplexing Visible and Near-Infrared Information in Single- Sensor Multispectral ImagingReportar como inadecuado




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Presented at: Color Computational Imaging Conference (CIC 24), San Diego, CA, USA, November 7-11, 2016 Published in: IS&T Publication date: 2016

In this paper, we study a single-sensor imaging system that uses a multispectral filter array to spectrally sample the scene. Our system captures information in both visible and near-infrared bands of the electromagnetic spectrum. Due to manufacturing limitations, the visible filters in this system also transmit the NIR radiation. Similarly, visible light is transmitted by the NIR filter, leading to inaccurate mixed spectral measurements. We present an algorithm that resolves this issue by separating NIR and visible information. Our method achieves this goal by exploiting the correlation of multispectral images in both spatial and spectral domains. Simulation results show that the mean square error of the data corrected by our method is less than 1/20 of the error in sensor spectral measurements.

Reference EPFL-CONF-226694





Autor: Sadeghipoor, Zahra; Thomas, Jean-Baptiste; Süsstrunk, Sabine

Fuente: https://infoscience.epfl.ch/record/226694?ln=en







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