Model-based restoration and reconstruction for underwater range-gated imaging

Yuzhang Chen; Wei Li; Min Xia; Kecheng Yang

doi:10.1117/1.3651810

1 November 2011 Model-based restoration and reconstruction for underwater range-gated imaging

Yuzhang Chen, Wei Li, Min Xia, Kecheng Yang

Author Affiliations +

Optical Engineering, Vol. 50, Issue 11, 113203 (November 2011). https://doi.org/10.1117/1.3651810

Abstract

In order to improve underwater range-gated imagery quality, image restoration and super-resolution reconstruction techniques based on maximum a posteriori framework are combined with the point spread function (PSF) of the system. A model based on beam propagation considering time-dependent backscatter is established including the extreme attenuation properties of water and the diffraction limit of sensor for obtaining the PSF. The proposed method is applied for an underwater range-gated imaging system. Performance of the approach is compared with the traditional restoration and reconstruction algorithms. Objective image quality metrics are used to quantify the effectiveness of the restoration and reconstruction. Experimental results showed that the proposed method can effectively improve the resolution and quality of underwater range-gated imaging.

©(2011) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Yuzhang Chen, Wei Li, Min Xia, and Kecheng Yang "Model-based restoration and reconstruction for underwater range-gated imaging," Optical Engineering 50(11), 113203 (1 November 2011). https://doi.org/10.1117/1.3651810

Published: 1 November 2011

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