Simultaneous denoising and compression of multispectral images
Journal of Applied Remote Sensing • 2013
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.
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