A Hybrid Medical Image Fusion Based on Undecimated and Complex Wavelet Transforms

摘要

Image fusion is the process of merging different information from multiple images to obtain a single composite fused image. The fused image contains the most relevant information from source images. In this paper, a hybrid medical image fusion based on combined Undecimated Wavelet Transform (UDWT) and Dual-Tree Complex Wavelet Transform (DTCWT) is presented. The performance of the proposed method is evaluated with performance metrics like Entropy, Standard Deviation, Peak Signal to Noise Ratio and Edge-based Similarity Measure. Experimental results show that our proposed fusion method outperforms many existing methods..