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https://hdl.handle.net/2440/64727
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Type: | Conference paper |
Title: | Image denoising by directional complex diffusion processes based on double-density dual-tree DWT |
Author: | Mao, C. Shen, H. |
Citation: | Proceedings, 2010 3rd International Congress on Image and Signal Processing : CISP 2010, vol. 2 / Zheng-Hua Tan, Yi Wan, Tao Xiang, Yibin Song (eds.): pp. 698-702 |
Publisher: | IEEE |
Publisher Place: | USA |
Issue Date: | 2010 |
ISBN: | 9781424465163 |
Conference Name: | International Congress on Image and Signal Processing (3rd : 2010 : Yantai, China) |
Statement of Responsibility: | Cheng-lin Mao, Hong Shen |
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: | DDDT-DWT complex wavelet transform directional complex nonlinear diffusion image denoising wavelet diffusion wavelet orientation |
Rights: | ©2010 IEEE |
DOI: | 10.1109/CISP.2010.5647203 |
Published version: | http://dx.doi.org/10.1109/cisp.2010.5647203 |
Appears in Collections: | Aurora harvest Computer Science publications |
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