Abstract
Combining two or more images from different sensors in to a single image is called image fusion. The resultant image contains the complementary information of the both source images. Stationary wavelet transform, discrete wavelet transform, etc., are commonly used techniques to fuse medical images like CT and MRI. In this article, by using the duel filter algorithm and different wavelets are considered to fuse the images. The quantitative and qualitative analysis of various wavelets is measured in terms of evaluation parameters like entropy, \(Q_\text {p} ^ {(\text {AB}/\text {F})}\) and mean value; by comparative analysis, one can chose a particular wavelet that provides better results for a specific metric.
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References
Yelampalli PK, Nayak J, Gaidhane VH (2018) Daubechies wavelet-based local feature descriptor for multimodal medical image registration. IET Image Process 12(10):1692–1702
Gaidhane VH, Hote YV, Singh V (2012) An efficient similarity measure technique for medical image registration. Sadhana 37(6):709–721
Malviya A, Bhirud SG (2009) Image fusion of digital images. Int J Recent Trends Eng 2(3):146
Narsaiah MN, Vathsal S, Venkat Reddy D (2019) Dual filter based images fusion algorithm for CT and MRI medical images. Int J Innov Technol Expl Eng (IJITEE) 8(9). ISSN: 2278-3075
Patil SM (2016) Image fusion using wavelet transform. Int J Eng Adv Technol (IJEAT) 5(4). ISSN: 2249-8958
Li H, Manjunath BS, Mitra SK (1995) Multisensor image fusion using the wavelet transform. GMIP: Graph Models Image Process 57(3):235–245
Yocky R (1996) Multiresolution wavelet decomposition image merger of Landsat thematic mapper and SPOT panchromatic data. Photogr Eng Remote Sens 62:1067–1074
Hill PR, Canagarajah CN, Bull DR (2002) Image fusion using complex wavelets. BVMC
Garguet-Duport B, Girel J, Chassery J, Pautou G (1996) The use of multiresolution analysis and wavelets transform for merging panchromatic and multispectral image data. Photogr Eng Remote Sens 62:1057–1066
Wang L, Liu B, Hu J, Zhang B (1998) Low light level dual spectrum images fusion based on wavelet transform. Proc SPIE 3561:393–397
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Narsaiah, M.N., Venkat Reddy, D., Bhaskar, T. (2022). Medical Image Fusion by Using Different Wavelet Transforms. In: Kumar Jain, P., Nath Singh, Y., Gollapalli, R.P., Singh, S.P. (eds) Advances in Signal Processing and Communication Engineering. Lecture Notes in Electrical Engineering, vol 929. Springer, Singapore. https://doi.org/10.1007/978-981-19-5550-1_33
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DOI: https://doi.org/10.1007/978-981-19-5550-1_33
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