The research and application of image de-noising based on the improved method of wavelet thresholding

Qingtao Wang; Hongyan Wen; Yakun Han; Lingshuai Kong; Lei Guo

doi:10.1117/12.2206149

9 December 2015 The research and application of image de-noising based on the improved method of wavelet thresholding

Qingtao Wang, Hongyan Wen, Yakun Han, Lingshuai Kong, Lei Guo

Proceedings Volume 9808, International Conference on Intelligent Earth Observing and Applications 2015; 98083U (2015) https://doi.org/10.1117/12.2206149
Event: International Conference on Intelligent Earth Observing and Applications, 2015, Guilin, China

Abstract

This paper introduces the theory and method of image de-noising on wavelet threshold. On the basis of the traditional threshold algorithm, a new improved algorithm which changes the threshold is put forward. And use the MATLAB to achieve the remote sensing image de-noising. Experimental results show that the peak signal noise ratio (PSNR) of the new threshold algorithm has improved significantly than the traditional threshold algorithm and lower mean square error (MSE) significantly in Gaussian noise of remote sensing image de-noising. The de-noising effect is better.

Citation Download Citation

Qingtao Wang, Hongyan Wen, Yakun Han, Lingshuai Kong, and Lei Guo "The research and application of image de-noising based on the improved method of wavelet thresholding", Proc. SPIE 9808, International Conference on Intelligent Earth Observing and Applications 2015, 98083U (9 December 2015); https://doi.org/10.1117/12.2206149

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