Open AccessOptical sensing and detection in turbid water using multidimensional integral imaging
Author(s) -
Setsuko Komatsu,
Adam Markman,
Bahram Javidi
Publication year - 2018
Publication title -
optics letters/optics index
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.524
H-Index - 272
eISSN - 1071-2763
pISSN - 0146-9592
DOI - 10.1364/ol.43.003261
Subject(s) - integral imaging , signal (programming language) , optics , computer science , image processing , signal processing , artificial intelligence , remote sensing , computer vision , image (mathematics) , physics , geology , digital signal processing , programming language , computer hardware
We present an approach for optical sensing and detection in turbid water using multidimensional spatial-temporal domain integral imaging and dedicated signal processing algorithms. An optical signal is encoded using pseudorandom sequences, and an image sensor array is used to capture elemental image video sequences of light propagating through turbid water. Using the captured information, multidimensional image reconstruction followed by multi-dimensional correlation to detect the source signal is performed. We experimentally demonstrate scenarios in which turbidity causes conventional signal detection to fail, while our proposed multidimensional approach enables successful detection under the same turbidity conditions. Statistical analysis is provided to support the experimental results. To the best of our knowledge, this is the first report of using multidimensional integral imaging signal detection in turbid water conditions.