Title :
Regularization of noisy ISAR images containing extended features
Author_Institution :
Res. & Technol. Group, Naval Air Warfare Centre Weapons Div., China Lake, CA, USA
fDate :
1/1/1999 12:00:00 AM
Abstract :
We present a regularization method that employs a cross-entropy functional and which deals with the three issues of complex-valued data, prior information, and noise mitigation. The basic model of this approach is similar to that used in usual maximum a posteriori analysis and allows for a more general relationship between the image and its configuration entropy than that usually employed
Keywords :
Bayes methods; entropy; image reconstruction; noise; radar imaging; synthetic aperture radar; ISAR images; complex-valued data; cross-entropy functional; extended features; noise mitigation; noisy images; prior information; regularization method; Circuits; Entropy; Error correction; Filter bank; Image coding; Image processing; Inverse problems; Lagrangian functions; Pollution measurement; Space technology;
Journal_Title :
Image Processing, IEEE Transactions on
