Image Denoising with Contour-Based Directionlet Transform

Huan An Xu; Guo Hua Peng; Zhe Liu

doi:10.4028/www.scientific.net/AMM.513-517.3607

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 513-517Image Denoising with Contour-Based Directionlet...

Image Denoising with Contour-Based Directionlet Transform

Abstract:

A novel mutiscale and directionally adaptive image transform called contour based directionlet tansform is presented. Directionlet transform (DT) has shown its charming performance in image processing, but it has scrambled frequencies. Laplacian Pyramid is employed here to separate the low frequencies before applying DT for avoiding the drawback. And an adaptive threshold algorithm is proposed for denoising. Numerical experiments are performed to assess the applicability of the proposed method. The obtained results show that the proposed scheme outperforms Wavelet and Directionlet transforms in terms of numerical and perceptual quality.

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Periodical:

Applied Mechanics and Materials (Volumes 513-517)

Pages:

3607-3611

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.513-517.3607

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Online since:

February 2014

Authors:

Huan An Xu*, Guo Hua Peng, Zhe Liu

Keywords:

Contour Based Directionlet Transform, Directionlet Transform, Image De-Noising

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* - Corresponding Author

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