Research Papers

Simultaneous denoising and compression of multispectral images

[+] Author Affiliations
Ahmed Hagag

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

Mohamed Amin

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

Fathi E. Abd El-Samie

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

J. Appl. Remote Sens. 7(1), 073511 (Sep 03, 2013). doi:10.1117/1.JRS.7.073511
History: Received July 3, 2013; Revised July 20, 2013; Accepted August 6, 2013
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Abstract.  A new technique for denoising and compression of multispectral satellite images to remove the effect of noise on the compression process is presented. One type of multispectral images has been considered: Landsat Enhanced Thematic Mapper Plus. The discrete wavelet transform (DWT), the dual-tree DWT, and a simple Huffman coder are used in the compression process. Simulation results show that the proposed technique is more effective than other traditional compression-only techniques.

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© 2013 Society of Photo-Optical Instrumentation Engineers

Citation

Ahmed Hagag ; Mohamed Amin and Fathi E. Abd El-Samie
"Simultaneous denoising and compression of multispectral images", J. Appl. Remote Sens. 7(1), 073511 (Sep 03, 2013). ; http://dx.doi.org/10.1117/1.JRS.7.073511


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