Title :
Bayesian restoration of millimeter wave imagery
Author :
Hunt, B.R. ; DeKruger, D.
Author_Institution :
Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ, USA
Abstract :
The adoption of new imaging modalities offers new challenges for the modelling of image formation and image restoration. Millimeter wave imaging, a totally passive method for imaging at microwave frequencies, requires statistical models that are different from normal visible optical assumptions. We examine some of the relevant issues and derive a non-linear Bayes estimate of the object, given a passive millimeter wave image
Keywords :
Bayes methods; estimation theory; image restoration; microwave imaging; Bayesian restoration; image formation; image restoration; iterative solution; microwave frequencies; millimeter wave imagery; millimeter wave imaging; nonlinear Bayes estimate; passive imaging method; passive millimeter wave image; statistical models; Bayesian methods; Electromagnetic scattering; Energy resolution; Frequency; Image restoration; Microwave imaging; Millimeter wave technology; Optical imaging; Signal processing; Space technology;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-1775-0
DOI :
10.1109/ICASSP.1994.389453
