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Simultaneous denoising and compression of multispectral images

Journal of Applied Remote Sensing • 2013
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Publication Information
Authors Ahmed Hagag; Mohamed Amin; Fathi E Abd El-Samie
Keywords Not Available
Journal Journal of Applied Remote Sensing
Publisher Society of Photo-Optical Instrumentation Engineers
Volume 7
Issue 1
Pages 073511-073511
publication.type International
Paper Link Open Link
Supplementary Materials Not Available
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.