基于噪声分离和小波阈值自适应图像去噪算法

Abstract

Abstract:

In view of the limit of Visushrink thresholding and the cases of mixed noises,a mixed adaptive image denoising algorithm based on noise isolation and wavelet scale is proposed.Firstly,the impulse noise and Gaussian noise are separated by extreme value detection,and then the impulse noise is processed by multi-window median filter,while the improved wavelet thresholding is applied to the Gaussian noise.Experiments show that the mixed filter algorithm can effectively remove impulse noise and Gaussian noise in the image and preserve the image details as well.

Key words: image processing;wavelet thresholding;adaptive median filter;wavelet filter

CLC Number:

TN911.73

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WAN Qian, XUE Ming. Mixed Adaptive Image Denoising Algorithm Based on Noise Isolation and Wavelet Thresholding[J]., 2011, 24(5): 94-.

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URL: https://journal.xidian.edu.cn/dzkj/EN/

https://journal.xidian.edu.cn/dzkj/EN/Y2011/V24/I5/94

References

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Mixed Adaptive Image Denoising Algorithm Based on Noise Isolation and Wavelet Thresholding

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