3 September 2013 Simultaneous denoising and compression of multispectral images
Author Affiliations +
J. of Applied Remote Sensing, 7(1), 073511 (2013). doi: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.
© 2013 Society of Photo-Optical Instrumentation Engineers (SPIE)
Ahmed Hagag, Mohamed Amin, Fathi E. Abd El-Samie, "Simultaneous denoising and compression of multispectral images," Journal of Applied Remote Sensing 7(1), 073511 (3 September 2013). http://dx.doi.org/10.1117/1.JRS.7.073511
JOURNAL ARTICLE
18 PAGES


SHARE
KEYWORDS
Image compression

Multispectral imaging

Denoising

Earth observing sensors

Discrete wavelet transforms

Image filtering

Wavelets

Back to Top