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Multispectral image compression with band ordering and wavelet transforms

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Abstract

In this paper, a new compression technique aiming at reducing the size of storage of multispectral images and maintaining at the same time the high-quality reconstruction is presented. An optimal multispectral band ordering process is applied before compression, and then, the dual-tree discrete wavelet transform is used in the spectral dimension, and the 2D discrete wavelet transform is used in the spatial dimensions. Finally, a simple Huffman coder is used for compression. Landsat ETM+ images are used for experimentations. Experimental results demonstrate that the proposed technique has better performance than JPEG, JPEG2000, SPIHT, and JPEG2000 with a 3D dual-tree transformation.

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Authors and Affiliations

  1. Department of Information Technology, Faculty of Information Technology, Egyptian E-Learning University, Dokki, Giza, 12611, Egypt

    Ahmed Hagag

  2. Department of Mathematics, Faculty of Science, Menoufia University, Shebin El-Koom, 32511, Egypt

    Mohamed Amin

  3. Department of Electronics and Electrical Communications, Faculty of Electronic Engineering, Menoufia University, Menouf, 32952, Egypt

    Fathi E. Abd El-Samie

Authors
  1. Ahmed Hagag
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  2. Mohamed Amin
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  3. Fathi E. Abd El-Samie
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Correspondence to Ahmed Hagag.

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Hagag, A., Amin, M. & Abd El-Samie, F.E. Multispectral image compression with band ordering and wavelet transforms. SIViP 9, 769–778 (2015). https://doi.org/10.1007/s11760-013-0516-4

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  • DOI: https://doi.org/10.1007/s11760-013-0516-4

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