A Multiplicative Regularizer Augmented With Spatial Priors for Microwave Imaging

The standard weighted L 2 norm total variation multiplicative regularization (MR) term originally developed for microwave imaging (MWI) algorithms is modified to take into account structural prior information, also known as spatial priors (SPs), about the object being imaged. This modification adds one extra integrand of MR, thus referred an augmented MR (AMR). main advantage proposed approach that it requires a minimal change existing MWI are already equipped with MR. Using two experimental data sets, shown AMR 1) can handle partial (incomplete) SP and 2) can, some extent, enhance quantitative accuracy achievable from MWI.