Image denoising by directional complex diffusion processes based on double-density dual-tree DWT

Author

Mao, Cheng-lin ; Shen, Hong

Author_Institution

Dept. of Comput. Sci. & Technol., Univ. of Sci. & Technol. of China, Hefei, China

Volume

2

fYear

2010

fDate

16-18 Oct. 2010

Firstpage

698

Lastpage

702

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

diffusion; discrete wavelet transforms; image denoising; trees (mathematics); DWT; directional complex diffusion processes; discrete wavelet transform; double density dual tree; image denoising; nonlinear diffusion; Discrete wavelet transforms; Gray-scale; Image denoising; Noise measurement; Noise reduction; DDDT-DWT; complex wavelet transform; directional complex nonlinear diffusion; image denoising; wavelet diffusion; wavelet orientation;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing (CISP), 2010 3rd International Congress on

Conference_Location

Yantai

Print_ISBN

978-1-4244-6513-2

Type

conf

DOI

10.1109/CISP.2010.5647203

Filename

5647203