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Erschienen in:
2006 | OriginalPaper | Buchkapitel
Denoising of Infrared Images by Wavelet Thresholding
verfasst von : Dietmar Wippig, Bernd Klauer, Hans Christoph Zeidler
Erschienen in: Advances in Computer, Information, and Systems Sciences, and Engineering
Verlag: Springer Netherlands
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- Infrared imaging devices become more important for civil and military navigation. Noisy images are often a problem especially at poor visibility. Therefore denoising could improve the image quality by wavelet thresholding. Different popular threshold estimation methods are compared with regard to the hard-, soft-, firm- and non-negative garrote thresholding function. Experimental results show that the BayesShrink thresholding estimator applied on the non-negative garrote delivers the best results.