Image Reconstruction Based on Combination of Inverse Scattering Technique and Total Variation Regularization Method

Nor Haizan Jamali (Universiti Malaysia Sarawak)
Kismet Anak Hong Ping (Universiti Malaysia Sarawak)
Shafrida Sahrani (Universiti Malaysia Sarawak)
Dayang Azra Awang Mat (Universiti Malaysia Sarawak)
Mohamad Hamiruce Marhaban (Universiti Putra Malaysia)
Mohd Iqbal Saripan (Universiti Putra Malaysia)
Toshifumi Moriyama (Nagasaki University)
Takashi Takenaka (Nagasaki University)

Indonesian Journal of Electrical Engineering and Computer Science
Vol 5, No 3: March 2017

The Forward-Backward Time-Stepping (FBTS) had proven its potential to reconstruct images of buried objects in inhomogeneous medium with useful quantitative information about its size, shape, and locality. The Total Variation regularization method was incorporated with the FBTS algorithm to deal with the ill-posedness or ill-conditionedness of the inverse problem. The effectiveness of the proposed technique is confirmed by numerical simulations. The numerical method was carried out on a simple object detection through FBTS with and without TV regularization method. The detection and reconstruction of relative permittivity and conductivity of the simple object have shown an improvement as TV regularization method applied whereas it smoothed the vibrations of the images and gave a better estimation of the image’s boundaries.