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Proceedings Paper

Image denoising method and evaluation based on mixed wavelet algorithm
Author(s): Yanchun Shen; Guozhong Zhao; Shengbo Zhang; Shuai Li; Yashang Li
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Paper Abstract

The principle and evaluation method of wavelet threshold denoising are analyzed aiming at the problem that Fourier transform cannot represent the abrupt change of image effectively and wavelet transform cannot represent the texture and slow change of image effectively in the process of image denoising. Through the quantitative comparison of Fourier image denoising and wavelet image denoising, a mixed Fourier-wavelet denoising algorithm is proposed based on the different characteristics of Fourier denoising and wavelet denoising. Experimental results show that the mixed wavelet algorithm is superior to simple Fourier denoising and wavelet denoising algorithm separately, which makes up for the disadvantages of the two algorithms, and has a good application prospect in the field of image denoising.

Paper Details

Date Published: 14 August 2019
PDF: 6 pages
Proc. SPIE 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019), 1117910 (14 August 2019); doi: 10.1117/12.2540098
Show Author Affiliations
Yanchun Shen, Capital Normal Univ. (China)
Guozhong Zhao, Capital Normal Univ. (China)
Shengbo Zhang, Capital Normal Univ. (China)
Shuai Li, Capital Normal Univ. (China)
Yashang Li, Capital Normal Univ. (China)

Published in SPIE Proceedings Vol. 11179:
Eleventh International Conference on Digital Image Processing (ICDIP 2019)
Jenq-Neng Hwang; Xudong Jiang, Editor(s)

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