Waveatom transform-based multimodal medical image fusion

Abstract

Medical image fusion produces a fused image that is extensively used by physicians for medical analysis and treatment. The fused image, so obtained, contains the complementary features present in different medical images obtained from imaging devices of single modality or of multiple modalities. The potential capabilities of waveatoms have been explored in many applications such as image denoising, fingerprint identification, compression; therefore, waveatom transform-based medical image fusion is proposed. The proposed fusion method is experimented on various sets of medical images and compared with recent state-of-the-art fusion methods. Results prove that the fused images obtained from the proposed method have better clarity and enhanced information and are practically more helpful for quick diagnosis and better treatment of diseases.

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