A Hybrid Medical Image Fusion Based on Undecimated and Complex Wavelet Transforms
Journal Title: International Journal of engineering Research and Applications - Year 2018, Vol 8, Issue 9
Abstract
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.
Authors and Affiliations
J. Reena Benjamin, T. Jayasree
Keywords
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- EP ID EP395189
- DOI 10.9790/9622-0809050409.
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