Denoising of natural images through robust wavelet thresholding and genetic programming
Digital images play an essential role in analysis tasks that can be applied in various knowledge domains, including medicine, meteorology, geology, and biology. Such images can be degraded by noise during the process of acquisition, transmission, storage, or compression. The use of local filters in...
| Main Authors: | Mohamed Khmag, Asem Ib., Ramli, Abd Rahman, Sy Mohamed, Sy Abd Rahman Al-haddad, Yusoff, Suhaimizi, Kamarudin, Noraziahtulhidayu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer Berlin Heidelberg
2017
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/61295/ http://psasir.upm.edu.my/id/eprint/61295/1/Denoising%20of%20natural%20images%20through%20robust%20wavelet%20thresholding%20and%20genetic%20programming.pdf |
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