@inproceedings{161ad02701c9459a8d7165a3d9002bcc,
title = "Image denoising by directional complex diffusion processes based on double-density dual-tree DWT",
abstract = "Wavelet diffusion is a new popular image denoising method by combining the wavelet shrinkage and nonlinear diffusion. In this paper we extend the wavelet diffusion from real axis to complex domain and improve its performance. The double-density dual-tree discrete wavelet transform (DDDT-DWT) is a complex and directional transform. We propose an efficient image denoising algorithm by combining DDDT-DWT and the directional complex nonlinear diffusion process. We compute complex diffusion function based on directional complex wavelets. Experimental results show our algorithm is efficient.",
keywords = "Complex wavelet transform, DDDT-DWT, Directional complex nonlinear diffusion, Image denoising, Wavelet diffusion, Wavelet orientation",
author = "Mao, \{Cheng Lin\} and Hong Shen",
year = "2010",
doi = "10.1109/CISP.2010.5647203",
language = "English",
isbn = "9781424465149",
series = "Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010",
pages = "698--702",
booktitle = "Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010",
note = "2010 3rd International Congress on Image and Signal Processing, CISP 2010 ; Conference date: 16-10-2010 Through 18-10-2010",
}