Polarization Discrimination Imaging of objects hidden in turbid media: Detection of weak sinusoids through Stochastic Resonance
Samudra Dasgupta, Jithun Nair, Shauryadipta Sarkar, Ram Mohan Vasu and, Gargeshwari Venkatasubbiah Anand

TL;DR
This paper introduces a stochastic resonance-based method with a 3-level quantizer to detect weak sinusoidal signals in turbid media, enabling object detection where traditional lock-in amplifiers fail.
Contribution
The work demonstrates novel non-linear estimation techniques using stochastic resonance to improve detection of hidden objects in highly turbid media.
Findings
Successful detection of objects at high turbidity levels (L/l=5.05)
Proven effectiveness of three non-linear amplitude estimation methods
Outperformed traditional lock-in amplifier detection in challenging conditions
Abstract
In Polarization Discrimination Imaging, the amplitude of a sinusoid from a rotating analyzer, representing residual polarized light and carrying information on the object, is detected with the help of a lock-in amplifier. When turbidity increases beyond a level, the lock-in amplifier fails to detect the weak sinusoidal component in the transmitted light. In this work we have employed the principle of Stochastic Resonance and used a 3-level quantizer to detect the amplitude of the sinusoids, which was not detectable with a lock-in amplifier. In using the three level quantizer we have employed three different approaches to extract the amplitude of the weak sinusoids: (a) using the probability of the quantized output to crossover a certain threshold in the quantizer (b) maximizing the likelihood function for the quantized detected intensity data and (c) arriving at an expression for the…
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Taxonomy
TopicsOptical Polarization and Ellipsometry · Spectroscopy Techniques in Biomedical and Chemical Research · Photoacoustic and Ultrasonic Imaging
