Underground Image Denoising

A Mixed Window Shrink and BayesShrink Image Denoising Algorithm Based on Curve let Transform is proposed in this paper. Curve let transform is effective in presenting line and surface property of image. In the proposed algorithm, Curvelet transform is employed for the first stage, then according the...

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Bibliographic Details
Main Authors: Ye, Zhang (Author), Meng, Jia (Author)
Format: EJournal Article
Published: Institute of Advanced Engineering and Science, 2014-06-01.
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042 |a dc 
100 1 0 |a Ye, Zhang  |e author 
100 1 0 |e contributor 
700 1 0 |a Meng, Jia  |e author 
245 0 0 |a Underground Image Denoising 
260 |b Institute of Advanced Engineering and Science,   |c 2014-06-01. 
520 |a A Mixed Window Shrink and BayesShrink Image Denoising Algorithm Based on Curve let Transform is proposed in this paper. Curve let transform is effective in presenting line and surface property of image. In the proposed algorithm, Curvelet transform is employed for the first stage, then according the theory of image demising method based on Wavelet transform, we combine Window Shrink and BayesShrink denoising algorithm to perform noise reduction. Experiment results show that the proposed algorithm is competitive to Wavelet transform in terms of Peak Signal to Noise Ratio (PSNR) and denoising image quality.  DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.5479 
540 |a Copyright (c) 2014 Institute of Advanced Engineering and Science 
540 |a http://creativecommons.org/licenses/by-nc-nd/4.0 
546 |a eng 
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655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
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786 0 |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 12, No 6: June 2014; 4438-4443 
786 0 |n 2502-4760 
786 0 |n 2502-4752 
786 0 |n 10.11591/ijeecs.v12.i6 
787 0 |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3523/1788 
856 4 1 |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3523/1788  |z Get fulltext