On imaging multiple physical parameters in an inverse problems context

Eric L. Miller; Andreas Mandelis

doi:10.1117/12.523381

21 May 2004 On imaging multiple physical parameters in an inverse problems context

Eric L. Miller, Andreas Mandelis

Proceedings Volume 5299, Computational Imaging II; (2004) https://doi.org/10.1117/12.523381
Event: Electronic Imaging 2004, 2004, San Jose, California, United States

Abstract

The extraction of information regarding multiple, space-varying parameters from limited, tomographic-type data represents and ill-posed inverse problem which is increasingly of interest in a range of application areas. From a physical perspective one would expect some degree of co-variation among the desired quantities; however traditional regularization methods do not exploit such prior information. Thus, here we introduce a correlation-type of metric to enforce a degree of common “structure” among the desired parameters where we consider structure to be defined by the gradients of the individual profiles. The analytical and algorithmic details of our method are presented and its performance evaluated using photothermal nondestructive evaluation as a driving example.

Citation Download Citation

Eric L. Miller and Andreas Mandelis "On imaging multiple physical parameters in an inverse problems context", Proc. SPIE 5299, Computational Imaging II, (21 May 2004); https://doi.org/10.1117/12.523381

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