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Proceedings Paper

Image denoising with the dual-tree complex wavelet transform
Author(s): Alauldeen S. Yaseen; Olga N. Pavlova; Alexey N. Pavlov; Alexander E. Hramov
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Paper 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.

Paper Details

Date Published: 21 April 2016
PDF: 8 pages
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
Show Author Affiliations
Alauldeen S. Yaseen, Saratov State Univ. (Russian Federation)
Univ. of Technology (Iraq)
Olga N. Pavlova, Saratov State Technical Univ. (Russian Federation)
Alexey N. Pavlov, Saratov State Univ. (Russian Federation)
Saratov State Technical Univ. (Russian Federation)
Kotel’nikov Institute of Radio-Engineering and Electronics (Russian Federation)
Alexander E. Hramov, Saratov State Technical Univ. (Russian Federation)
Saratov State Univ. (Russian Federation)
Kotel’nikov Institute of Radio-Engineering and Electronics (Russian Federation)


Published in SPIE Proceedings Vol. 9917:
Saratov Fall Meeting 2015: Third International Symposium on Optics and Biophotonics and Seventh Finnish-Russian Photonics and Laser Symposium (PALS)
Elina A. Genina; Valery V. Tuchin; Vladimir L. Derbov; Dmitry E. Postnov; Igor V. Meglinski; Kirill V. Larin; Alexander Borisovich Pravdin, Editor(s)

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