Imaging quality comparison of two typical methods for imaging through turbid media

Xiaopeng Shao; Tengfei Wu; Changmei Gong

doi:10.1117/12.2050336

4 June 2014 Imaging quality comparison of two typical methods for imaging through turbid media

Xiaopeng Shao, Tengfei Wu, Changmei Gong

Author Affiliations +

Proceedings Volume 9083, Micro- and Nanotechnology Sensors, Systems, and Applications VI; 908331 (2014) https://doi.org/10.1117/12.2050336
Event: SPIE Defense + Security, 2014, Baltimore, MD, United States

Abstract

Due to the multiple scattering of light in turbid media such as biological tissues, the image of target becomes highly deteriorated and even disappears entirely. Only speckle patterns, which result from multiple scattering and interference in turbid media and contain disordered objects-information, can be acquired. Two typical methods to recover the image of target behind a turbid medium are described and simulated in this paper. The first approach is based on image correlation and wavefront shaping technique, in which the Pearson correlation coefficient is applied as a cost function for the optimization and genetic algorithm (GA) is employed to control a spatial light modulator to generate the optimal wavefront to maximize the cost function. For the second approach, the target images can be reconstructed from the speckle patterns with total variation minimization by augmented Lagrangian and alternating direction algorithms (TVAL3). Circular Gaussian distribution model and Fresnel diffraction theory are exploited in our simulations to describe turbid media and light propagation between optical devices, respectively. The anti-noise capabilities of the two methods are analyzed to demonstrate their stabilities applied in low signal-to-noise environment. This work will be beneficial to the fields of microscopic imaging and biomedical imaging in micro/nano scale.

Citation Download Citation

Xiaopeng Shao, Tengfei Wu, and Changmei Gong "Imaging quality comparison of two typical methods for imaging through turbid media", Proc. SPIE 9083, Micro- and Nanotechnology Sensors, Systems, and Applications VI, 908331 (4 June 2014); https://doi.org/10.1117/12.2050336

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
9 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Wavefronts

Speckle pattern

Modulation

Signal to noise ratio

Light scattering

Reconstruction algorithms

Imaging systems

Show All Keywords

Keywords/Phrases

Search In:

Publication Years