Title :
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
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;
Conference_Titel :
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6513-2
DOI :
10.1109/CISP.2010.5647203
