Power shrinkage—curvelet domain image denoising using a new scale-dependent shrinkage function

© 2019, Springer-Verlag London Ltd., part of Springer Nature. Image processing and analysis algorithms are at the heart of applications in various scientific fields, such as medical diagnosis, military imaging, and astronomy. However, images are typically exposed to noise contamination during their...

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Bibliographic Details

Main Authors:	Oussama Kadri, Zine-Eddine Baarir, Gerald Schaefer
Format:	Default Article
Published:	2019
Subjects:	Artificial intelligence not elsewhere classified Other information and computing sciences not elsewhere classified Image noise Image quality Image denoising Curvelet shrinkage Power shrinkage Artificial Intelligence and Image Processing Information and Computing Sciences not elsewhere classified
Online Access:	https://hdl.handle.net/2134/37962
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