Performance evaluation of wavelet, ridgelet, curvelet and contourlet transforms based techniques for digital image denoising
Digital images always inherit some extent of noise in them. This noise affects the information content of the image. Removal of this noise is very important to extract useful information from an image. However noise cannot be eliminated, it can only be minimized due to overlap between the signal and...
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Veröffentlicht in: | The Artificial intelligence review 2016-04, Vol.45 (4), p.509-533 |
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Sprache: | eng |
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