| publication name | Simultaneous denoising and compression of multispectral images |
|---|---|
| Authors | Ahmed Hagag; Mohamed Amin; Fathi E Abd El-Samie |
| year | 2013 |
| keywords | |
| journal | Journal of Applied Remote Sensing |
| volume | 7 |
| issue | 1 |
| pages | 073511-073511 |
| publisher | Society of Photo-Optical Instrumentation Engineers |
| Local/International | International |
| Paper Link | https://www.spiedigitallibrary.org/journals/journal-of-applied-remote-sensing/volume-7/issue-1/073511/Simultaneous-denoising-and-compression-of-multispectral-images/10.1117/1.JRS.7.073511.short?SSO=1 |
| Full paper | download |
| 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.