Image denoising method and evaluation based on mixed wavelet algorithm

Yanchun Shen; Guozhong Zhao; Shengbo Zhang; Shuai Li; Yashang Li

doi:10.1117/12.2540098

14 August 2019 Image denoising method and evaluation based on mixed wavelet algorithm

Yanchun Shen, Guozhong Zhao, Shengbo Zhang, Shuai Li, Yashang Li

Proceedings Volume 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019); 1117910 (2019) https://doi.org/10.1117/12.2540098
Event: Eleventh International Conference on Digital Image Processing (ICDIP 2019), 2019, Guangzhou, China

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.

Citation Download Citation

Yanchun Shen, Guozhong Zhao, Shengbo Zhang, Shuai Li, and Yashang Li "Image denoising method and evaluation based on mixed wavelet algorithm", Proc. SPIE 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019), 1117910 (14 August 2019); https://doi.org/10.1117/12.2540098

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