Interpolation Effect on FBP-Based Image Reconstruction of Measured L-Band Microwave Tomography

Abstract

This paper presents an interpolation effect on image reconstruction using Filtered Back Projection (FBP) algorithm for L-band microwave tomography. The FBP-based image reconstruction is conducted by changing the image of the object using radon transformation. The FBP method is chosen for the reconstruction due to no time consuming on its computation process. After conducting the reconstruction process, the interpolation is applied on the reconstructed image so that the image produced can be more stable. Here, the interpolation method is using linear, nearest, and cubic method at the L-band frequency of 1.5 GHz. The results show that the interpolation using linear method has Mean Square Error (MSE) value of 0.1335. Meanwhile, the nearest and cubic methods has the MSE value of 0.1392 and 0.1323, respectively. In case of using the Structure Similarity Indexing Method (SSIM), it shows that the linear method produces greater similarity than other methods, with the value of 0.3399. Whilst nearest-neighbor and cubic methods have the SSIM value of 0.3506 and 0.3404, respectively.