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Proceedings Paper

The research and application of image de-noising based on the improved method of wavelet thresholding
Author(s): Qingtao Wang; Hongyan Wen; Yakun Han; Lingshuai Kong; Lei Guo
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Paper 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.

Paper Details

Date Published: 9 December 2015
PDF: 5 pages
Proc. SPIE 9808, International Conference on Intelligent Earth Observing and Applications 2015, 98083U (9 December 2015); doi: 10.1117/12.2206149
Show Author Affiliations
Qingtao Wang, Guilin Univ. of Technology (China)
Hongyan Wen, Guilin Univ. of Technology (China)
Yakun Han, Guilin Univ. of Technology (China)
Lingshuai Kong, Guilin Univ. of Technology (China)
Lei Guo, Guilin Univ. of Technology (China)

Published in SPIE Proceedings Vol. 9808:
International Conference on Intelligent Earth Observing and Applications 2015
Guoqing Zhou; Chuanli Kang, Editor(s)

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