Simultaneous denoising and compression of multispectral images

Ahmed Hagag; Mohamed Amin; Fathi E. Abd El-Samie

doi:10.1117/1.JRS.7.073511

3 September 2013 Simultaneous denoising and compression of multispectral images

Ahmed Hagag, Mohamed Amin, Fathi E. Abd El-Samie

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 7, Issue 1, 073511 (September 2013). https://doi.org/10.1117/1.JRS.7.073511

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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Ahmed Hagag, Mohamed Amin, and Fathi E. Abd El-Samie "Simultaneous denoising and compression of multispectral images," Journal of Applied Remote Sensing 7(1), 073511 (3 September 2013). https://doi.org/10.1117/1.JRS.7.073511

Published: 3 September 2013

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