An Innovative Approach of Multi-Focus Image Fusion Using SWT and Content Adaptive Blurring

  • Authors

    • Tapasmini Sahoo
    • Richa Acharya
    • Kunal Kaumar Das
    2018-12-13
    https://doi.org/10.14419/ijet.v7i4.39.23960
  • Multi-focus image, Content Adaptive Blurring.
  • This paper depicts a stationary wavelet transformation based image fusion technique in association with content adaptive blurring.  The fusion technique combines multiple images of the same scene with different resolution, intensity to get a combined image with more suitability for extracting features which is difficult to find from an image in various modalities. The performance and relative importance of the proposed fusion technique is investigated by some statistical evaluation measures. The values of the statistical measure suggests that the execution of the proposed strategy is appreciable. It likewise improves the visual impact.

     

  • References

    1. [1] Muhammad Shahid farid, Arif Mahmood, Somaya Ali Al-Maadeed, Information fusion: Multi-focus image fusion using Content Adaptive Blurring, Information Fusion 45 (2019) 96-112.

      [2] Tapasmini Sahoo, Sankalp Mohanty,Saurav Sahu, Multi-focus Image Fusion Using Variance Based Spatial Domain and Wavelet Transform, International Conference on Multimedia, Signal Processing and Communication Technologies, 2011,48-51

      [3] A.A. Goshtasby, S. Nikolov, Image fusion: advances in the state of the art, Information Fusion 8 (2)2007) 114-118.

      [4] N. Mitianoudis, T. Stathaki, Pixel-based and region- based image fusion schemes using ICA bases, Information Fusion 8 (2) (2007) 131–142.

      [5] P.T. Burt, E.H. Andelson, The Laplacian pyramid as a compact image code, IEEE Transactions on Communications 31 (4) (1983)532-540.

      [6] Toet, A morphological pyramidal image decomposition, Pattern Recognition Letters 9 (3) (1989) 255–261.

      [7] H. Li, B. Manjunath, S. Mitra, Multisensor image fusion using the wavelet transform, Graphical Models and Image Processing 57 (3) (1995) 235–245.

      [8] G. Pajares, J. Cruz, A wavelet-based image fusion tutorial, Pattern Recognition 37 (9) (2004) 1855–1872..

      [9] B. Yang, Z.L. Jing, Image fusion using a low-redundancy and nearly shift invariant discrete wavelet frame, Optics Engineering 46(10) (2007) 107002.

      [10] V.S. Petrovic, C.S. Xydeas, Gradient-based multiresolution image fusion, IEEE Transactions on Image Processing 13 (2) (2004) 228– 237

      [11] M. Beaulieu, S. Foucher, L. Gagnon, Multi-spectral image resolution refinement using stationary wavelet transform, in: Proceedings of the International Geoscience and Remote Sensing Symposium, 1989, pp.4032–4034.

      [12] .T. Li, J.T. Kwok, Y.N. Wang, Discrete wavelet frame transform method to merge Landsat TM and SPOT panchromatic images, In formation Fusion 3 (1) (2002) 17–23.

      [13] J.J. Lewis, R.J. Ocallaghan, S.G. Nikolov, Pixel- and region-based image fusion with complex wavelets, Information Fusion 8 (2) (2007)119–13

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  • How to Cite

    Sahoo, T., Acharya, R., & Kaumar Das, K. (2018). An Innovative Approach of Multi-Focus Image Fusion Using SWT and Content Adaptive Blurring. International Journal of Engineering & Technology, 7(4.39), 346-349. https://doi.org/10.14419/ijet.v7i4.39.23960