Image denoising with the dual-tree complex wavelet transform
Alauldeen S. Yaseen, Olga Nikolaevna Pavlova, А. Н. Павлов, Alexander E. Hramov · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2016
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.