Maximum-entropy expectation-maximization algorithm for image processing and sensor networks

Hunsop Hong; Dan Schonfeld

doi:10.1117/12.698056

29 January 2007 Maximum-entropy expectation-maximization algorithm for image processing and sensor networks

Hunsop Hong, Dan Schonfeld

Proceedings Volume 6508, Visual Communications and Image Processing 2007; 65080D (2007) https://doi.org/10.1117/12.698056
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States

Abstract

In this paper, we propose a maximum-entropy expectation-maximization algorithm. We use the proposed algorithm for density estimation. The maximum-entropy constraint is imposed in order to ensure smoothness of the estimated density function. The exact derivation of the maximum-entropy expectation-maximization algorithm requires determination of the covariance matrix combined with the maximum entropy likelihood function, which is difficult to solve directly. We therefore introduce a new lower-bound for the EM algorithm derived by using the Cauchy-Schwartz inequality to obtain a suboptimal solution. We use the proposed algorithm for function interpolation and image segmentation. We propose the use of the EM algorithm for image recovery from randomly sampled data and signal reconstruction from randomly scattered sensors. We further propose to use our approach to maximum-entropy expectation-maximization (MEEM) in all of these applications. Computer simulation experiments are used to demonstrate the performance of our algorithm in comparison to existing methods.

Citation Download Citation

Hunsop Hong and Dan Schonfeld "Maximum-entropy expectation-maximization algorithm for image processing and sensor networks", Proc. SPIE 6508, Visual Communications and Image Processing 2007, 65080D (29 January 2007); https://doi.org/10.1117/12.698056

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