Abstract
Image fusion is the process of acquiring both qualitative & quantitative information from multiple source images and creating a resultant image. Multi Resolution discrete cosine transform (MRDCT) has become very popular in image fusion especially for medical images. It preserves the DC components of images very effectively than any other transformation technique. This paper presents an image fusion process based on MRDCT, which combines MRI (magnetic resonance imaging), and CT (computed tomography). MRI image provides soft tissue (smooth) information and CT image provides bones (sharp) information. First, we apply MRDCT on both MRI and CT image to obtain the different coefficients and then apply the fusion rules. Finally, we apply the inverse MRDCT to obtain the fused image. The superiority of this method is demonstrated by comparing various performance measures with other existing methods.
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Ch., H.B., Sugumaran, V. (2019). Multimodal Medical Image Fusion with Multi Resolution Discrete Cosine Transform. In: Sugumaran, V., Xu, Z., P., S., Zhou, H. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. MMIA 2019. Advances in Intelligent Systems and Computing, vol 929. Springer, Cham. https://doi.org/10.1007/978-3-030-15740-1_34
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DOI: https://doi.org/10.1007/978-3-030-15740-1_34
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