Abstract
This paper presents an improved multisensor image fusion scheme, which is based on the typical geometrical structure of images. Consider the textures, directional and spectral features, the paper modulate and enhance the contrast of the original images in different scales and reduce the time cost at the same time using contrast pyramid; use weighted wavelets and wedgelets to capture the geometrical characteristics of different scales. In wedgelets, employ Markov models to find the best wedgelet orientations at different scales. Results clearly demonstrate the superiority of this improved approach when compared to conventional wavelet-based systems.
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References
Donoho, D.L.: Wedgelets: Nearly-Minimax Estimation of Edges. Annals of Statistics 27, 859–897 (1999)
Do, M.N., Vetterli, M.: Framing pyramids. IEEE Transactions on Signal Processing 51, 2329–2342 (2003)
Romberg, J.K., Wakin, M.B.: Multiscale Wedgelet Image Analysis: Fast Decompositions and Modeling. In: International Conference on Image Processing, vol. 3, pp. 585–588 (2002)
Romberg, J.K., Wakin, M.B.: Multiscale Geometric Image Processing. In: SPIE Visual Communications and Image Processing (2003), http://hdl.handle.net/1911/20302
Spence, C., Parra, L.C., Sajda, P.: Varying complexity in tree-structured image distribution models. IEEE Transactions on Image Processing 15, 319–330 (2006)
Romberg, J.K., Choi, H., Baraniuk, R.G.: Bayesian tree-structured image modeling using wavelet-domain hidden Markov models. IEEE Transactions on Image Processing 10, 1056–1068 (2001)
Jin, H.-Y., Yang, X.-H., Jiao, L.-C., Liu, F.: Image Enhancement via Fusion Based on Laplacian Pyramid Directional Filter Banks. In: Kamel, M.S., Campilho, A.C. (eds.) ICIAR 2005. LNCS, vol. 3656, pp. 239–246. Springer, Heidelberg (2005)
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Jin, H., Li, S., Wang, B., Sun, X. (2012). Multispectral Image Fusion Based on Contrast Modulation and Weighted Wavelets and Markov Modeling. In: Zhao, M., Sha, J. (eds) Communications and Information Processing. Communications in Computer and Information Science, vol 288. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31965-5_23
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DOI: https://doi.org/10.1007/978-3-642-31965-5_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31964-8
Online ISBN: 978-3-642-31965-5
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