Image denoising with the dual-tree complex wavelet transform

Alauldeen S. Yaseen; Olga N. Pavlova; Alexey N. Pavlov; Alexander E. Hramov

doi:10.1117/12.2225449

21 April 2016 Image denoising with the dual-tree complex wavelet transform

Alauldeen S. Yaseen, Olga N. Pavlova, Alexey N. Pavlov, Alexander E. Hramov

Proceedings Volume 9917, Saratov Fall Meeting 2015: Third International Symposium on Optics and Biophotonics and Seventh Finnish-Russian Photonics and Laser Symposium (PALS); 99173K (2016) https://doi.org/10.1117/12.2225449
Event: Saratov Fall Meeting 2015, 2015, Saratov, Russian Federation

Abstract

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.

Citation Download Citation

Alauldeen S. Yaseen, Olga N. Pavlova, Alexey N. Pavlov, and 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); https://doi.org/10.1117/12.2225449

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KEYWORDS

Wavelets

Discrete wavelet transforms

Image denoising

Denoising

Image filtering

Wavelet transforms

Image quality

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