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1.
Appl Opt ; 46(30): 7374-83, 2007 Oct 20.
Article in English | MEDLINE | ID: mdl-17952171

ABSTRACT

A new technique has been found that uses in-phase and quadrature phase (I/Q) demodulation to optimize the images produced with an amplitude-modulated laser imaging system. An I/Q demodulator was used to collect the I/Q components of the received modulation envelope. It was discovered that by adjusting the local oscillator phase and the modulation frequency, the backscatter and target signals can be analyzed separately via the I/Q components. This new approach enhances image contrast beyond what was achieved with a previous design that processed only the composite magnitude information.


Subject(s)
Lasers , Optics and Photonics , Data Interpretation, Statistical , Equipment Design , Image Processing, Computer-Assisted/methods , Models, Statistical
2.
Appl Opt ; 45(25): 6577-85, 2006 Sep 01.
Article in English | MEDLINE | ID: mdl-16912798

ABSTRACT

The development of a simple model of the seawater inherent optical properties (IOPs) associated with bubbles and sediments would represent a great advance in surf zone optics. We present one solution for this problem using a combination of geometrical optics and Fraunhofer diffraction. An analytic model of the IOPs of bubbles and sediments (the extinction and absorption coefficients, and phase function) is developed in terms of the moments of the particle size distribution and the complex refractive index of particles.

3.
Appl Opt ; 43(19): 3874-92, 2004 Jul 01.
Article in English | MEDLINE | ID: mdl-15250554

ABSTRACT

Laser systems have been developed to image underwater objects. However, the performance of these systems can be severely degraded in turbid water. We have developed a technique using modulated light to improve underwater detection and imaging. A program, Modulated Vision System (MVS), which is based on a new theoretical approach, has been developed to predict modulated laser imaging performance. Experiments have been conducted in a controlled laboratory environment to test the accuracy of the theory as a function of system and environmental parameters. Results show a strong correlation between experiment and theory and indicate that the MVS program can be used to predict future system performance.

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