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A Comparative Analysis of Fusion Techniques Based on Multi Resolution Transforms

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Abstract

Medical images play an important role in detection of abnormalities. A medical image like CT or MR does not at times give all the required data required for detection at a given time. Multi spectral imaging plays a significant role in projecting a clear picture of an abnormality. When the data available at hand is a MR and CT image of a particular area, the MR image may give details which are not provided by the CT and vice versa. Hence, an optimal approach would be to fuse the two images to get the combined details of both the image without degrading the image quality. Image fusion provides optimal results when done on a multi resolution platform. A detailed comparative study of the wavelet transform for image fusion using various techniques has been presented in this paper.

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References

  1. Sahu DK, Parsai MP (2012) Different image fusion techniques—a critical review. Int J Mod Eng Res 2:4298–4301

    Google Scholar 

  2. Shu-long Z (2002) Image fusion using wavelet transform, ISPRS Symposium on Geospatial Theory. In: Conference Proceedings on Processing and Applications, Ottawa vol. 34

  3. Hill P, Canagarajah N, Bull D (2002) Image fusion using complex wavelets. Symposium on Geospatial Theory, Processing and Applications, 13th British Machine Vision Conference BVMC, pp 487–496

  4. Al-Wassai FA, Kalyankar NV, Al-Zuky AA (2011) The IHS transformations based image fusion, computer vision and pattern recognition. Int J Adv Res Com Sci 2

  5. Rawat P, Gangrade S, Vyas P (2011) Implementation of hybrid image fusion technique using wavelet based fusion rules. Int J Comput Technol Electron Eng, 1(1)

  6. Yang J, Ma Y, Yao W, Lu WT (2008) A spatial domain and frequency domain integrated approach to fusion multifocus images, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B7

  7. Kaur R, Singh H (2012) Fusion of multimodality medical images based on multiscale decomposition using contourlet transform. Int J Res Eng Appl Sci 2

  8. Li H, Manjunath BS, Mitra SK (1994) Multi-sensor image fusion using wavelet transform, pp 1224–1230

  9. Pajares G, Manuel de la Cruz J (2004) A wavelet-based image fusion tutorial. Pattern Recognition 37:1855–1872

    Article  Google Scholar 

  10. Prakash NK (2011) Image fusion algorithm based on biorthogonal wavelet. Int J Enterp Comput Bus Syst 1:1–5

    Google Scholar 

  11. CK Solanki, NM Patel (2011) Pixel based and wavelet based image fusion methods with their comparative study. Conference Proceedings vol. 13

  12. Deshmukh M, Bhosale U (2011) Image fusion and image quality assessment of fused images. Int J Image Proc 4:484

    Google Scholar 

  13. Singh R, Vatsa M, Noore A (2009) Multimodal medical image fusion using redundant discrete wavelet transform. ICAPR, Dubai, pp 232–235

  14. Mamatha Smt G, Gayatri L (2012) An image fusion using wavelet and curvelet transforms. Glob J Adv Eng Technol 1(2)

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Authors and Affiliations

  1. Department of Information Technology, Bharathiyar College of Engineering and Technology, Karaikal, India

    N. Kathiresan

  2. Department of Electronics and Communication Engineering, Bharathiyar College of Engineering and Technology, Karaikal, India

    J. Samuel Manoharan

Authors
  1. N. Kathiresan
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  2. J. Samuel Manoharan
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Correspondence to N. Kathiresan.

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Kathiresan, N., Samuel Manoharan, J. A Comparative Analysis of Fusion Techniques Based on Multi Resolution Transforms. Natl. Acad. Sci. Lett. 38, 61–65 (2015). https://doi.org/10.1007/s40009-014-0300-1

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  • DOI: https://doi.org/10.1007/s40009-014-0300-1

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