Image Enhancement Method for Steel Surface Defects Based on DT-CWT

Zhi Xin Chen; Ping Wang; Shi-Kun Xie

doi:10.4028/www.scientific.net/AMM.380-384.3686

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 380-384Image Enhancement Method for Steel Surface Defects...

Image Enhancement Method for Steel Surface Defects Based on DT-CWT

Abstract:

A method based on Dual-Tree Complex Wavelet Transform (DT-CWT) was proposed for enhancing the images. By taking into account the non-Gaussian probability distribution and the statistical dependencies among wavelet coefficients of some signals, and by taking advantage of near shift-invariance of DT-CWT, it can obtain higher signal-to-noise ratio (SNR) than common wavelet denoising methods. The simulation results show that the proposed method is better than the traditional methods. It has a good enhancement performance which can improve the details of the image automatically.

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Periodical:

Applied Mechanics and Materials (Volumes 380-384)

Pages:

3686-3689

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.380-384.3686

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Online since:

August 2013

Authors:

Zhi Xin Chen, Ping Wang, Shi-Kun Xie

Keywords:

DT-CWT, Image Enhancement, Steel Surface Defects

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References

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