Design and Optimization of Homomorphic Medical Image Fusion Algorithm

Abstract

Multimodal image fusion is a method of fusing images of different modalities into one image without losing the overall meaning of the input images. The homomorphic method is one method to enhance digital images by increasing the high-frequency image signals and reducing the low-frequency of unwanted illumination. This paper will demonstrate how the homomorphic fusion method can improve the fused image quality compared to basic fusion methods such as principal component analysis (PCA) and discrete wavelet transform (DWT) methods. The design and simulation are carried out by MATLAB software on selected medical modalities, MR-PET and MRI. The results are compared using Mutual Information (MI) with aforementioned methods. The results showed that the homomorphic method has higher efficiency than DWT and PCA methods.