21 April 2016 Image denoising with the dual-tree complex wavelet transform
Author Affiliations +
The purpose of this study is to compare image denoising techniques based on real and complex wavelet-transforms. Possibilities provided by the classical discrete wavelet transform (DWT) with hard and soft thresholding are considered, and influences of the wavelet basis and image resizing are discussed. The quality of image denoising for the standard 2-D DWT and the dual-tree complex wavelet transform (DT-CWT) is studied. It is shown that DT-CWT outperforms 2-D DWT at the appropriate selection of the threshold level.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alauldeen S. Yaseen, Alauldeen S. Yaseen, Olga N. Pavlova, Olga N. Pavlova, Alexey N. Pavlov, Alexey N. Pavlov, Alexander E. Hramov, Alexander E. Hramov, } "Image denoising with the dual-tree complex wavelet transform", Proc. SPIE 9917, Saratov Fall Meeting 2015: Third International Symposium on Optics and Biophotonics and Seventh Finnish-Russian Photonics and Laser Symposium (PALS), 99173K (21 April 2016); doi: 10.1117/12.2225449; https://doi.org/10.1117/12.2225449


Wavelet-based figure of merit for macro-uniformity
Proceedings of SPIE (February 04 2013)
Multispectral image fusion using an improved wavelet transform
Proceedings of SPIE (September 18 2001)
A new algorithm for image denoising
Proceedings of SPIE (November 24 2009)
Image denoising based on wavelet transform algorithm
Proceedings of SPIE (January 12 2012)
Medical image processing using wavelets
Proceedings of SPIE (October 27 2006)

Back to Top