Open Access Journal

ISSN : 2394 - 6849 (Online)

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Open Access Journal

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

ISSN : 2394-6849 (Online)

Image Fusion with Adaptive- Guided Filtering

Author : C.Siva Gangi Reddy 1 G.Tirumala Vasu 2 Dr.N.Sreekanth 3

Date of Publication :7th August 2016

Abstract: A quick and effective image fusion technique is proposed for creating a noticeably informative fused photograph thru merging a couple of photos. The proposed method is to evaluate the categories of wavelets utilized in photograph fusion and to improve the fusion technique by using integrating with Guided filtering method. The results are comparing visually and statistically display that Guided-filtering method can improve the fusion effects, reduces the ringing results to some extents and entire image smoother. Evaluation of the very last consequences is affected by the kinds of wavelets orthogonal, Bi-orthogonal, undecimated orthogonal and un- decimated Bi-orthogonal tiers.

Reference :

  1. [1] A. A. Goshtas by and S. Nikolov, “Image fusion: Advances in the state of the art,” Inf. Fusion, vol. 8, no. 2, pp. 114–118, Apr. 2007.

    [2] D.Socolinsky and L.Wolff, “Multispectral image visualization through first-order fusion,” IEEE Trans. Image Process., vol. 11, no. 8,pp. 923–931, Aug. 2002.

    [3] R. Shen, I. Cheng, J. Shi, and A. Basu, “Generalized random walks for fusion of multi-exposure images,” IEEE Trans. Image Process., vol. 20,no. 12, pp. 3634–3646, Dec. 2011.

    [4] S. Li, J. Kwok, I. Tsang, and Y. Wang, “Fusing images with different focuses using support vector machines,” IEEE Trans. Neural Netw.,vol. 15, no. 6, pp. 1555–1561, Nov. 2004.

    [5] G. Pajares and J. M. de la Cruz, “A wavelet-based image fusion tutorial” Pattern Recognit., vol. 37, no. 9, pp. 1855– 1872, Sep. 2004.

    [6] D. Looney and D. Mandic, “Multiscale image fusion using complex extensions of EMD,” IEEE Trans. Signal Process., vol. 57, no. 4,pp. 1626–1630, Apr. 2009.

    [7] M. Kumar and S. Dass, “A total variation-based algorithm for pixellevel image fusion,” IEEE Trans. Image Process., vol. 18, no. 9,pp. 2137–2143, Sep. 2009.

    [8] P. Burt and E. Adelson, “The laplacian pyramid as a compact image code,” IEEE Trans. Commun., vol. 31, no. 4, pp. 532–540, Apr. 1983.

    [9] O. Rockinger, “Image sequence fusion using a shiftinvariant wavelet transform,” in Proc. Int. Conf. Image Process., vol. 3, Washington, DC,USA, Oct. 1997, pp. 288– 291.

    [10] J. Liang, Y. He, D. Liu, and X. Zeng, “Image fusion using higher order singular value decomposition,” IEEE Trans. Image Process., vol. 21,no.5,pp.2898–2909,May2012.


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