The MATLAB Realization of Toning up Digital Image Based on Wavelet Transform

Xu Cao; Hua Xun Zhang; Yan Nan Xie

doi:10.4028/www.scientific.net/AMM.397-400.2270

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 397-400The MATLAB Realization of Toning up Digital Image...

The MATLAB Realization of Toning up Digital Image Based on Wavelet Transform

Abstract:

This paper mainly description image enhance based on wavelet transform. The author gave the theory of wavelet analysis, the application of wavelet transform in image enhancement. The impression drawing is given by means of MATLAB simulation. Through tone up to disperse wavelet transform, rebuild coefficient, the siginal of image is more boost up in low contrast section than high contrast section, the margin is distinct.

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Periodical:

Applied Mechanics and Materials (Volumes 397-400)

Pages:

2270-2273

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.397-400.2270

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Online since:

September 2013

Authors:

Xu Cao, Hua Xun Zhang, Yan Nan Xie

Keywords:

Found Keywords
Digital Image

, Image Enhancement, Wavelet Analysis, Wavelet Transform (WT)

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References

[1] Eslami.R. and Radha.H., Regular hybrid wavelets and directional filter banks: extensions and applications [C]. IEEE International Conference on Image Processing, 2006: 1609-1612.

DOI: 10.1109/icip.2006.312617

Google Scholar

[2] Jamshid D, Hamdan A, Manlio V, et al. Segmentation of pulmonary nodules in thoracic CT scans: a region growing approach [J]. IEEE Trans on Med Imaging, 2008, 27(4): 467-480.

DOI: 10.1109/tmi.2007.907555

Google Scholar

[3] Ramin Eslami, Hayder Radha. A new family of nonredundant transforms using hybrid wavelets and directional filter banks [J]. In IEEE Transactions on image processing, 2007, 16(4): 1152-1167.

DOI: 10.1109/tip.2007.891791

Google Scholar

[4] Shuqian Luo and Guohong Zhou, Medical Image Processing and Analyse. [M]. Publishing House of Science in Beijing, (2010).

Google Scholar

[5] Kenneth R. Castleman. Digital Image Processing. [M]. Publishing House of Electronics Industry in Beijing, (2002).

Google Scholar

[6] Ella A. Kazerooni. Lung cancer screening [J]. Eur Radiol Suppl, 2005, 15(4): D48-D51.

DOI: 10.1007/s10406-005-0134-5

Google Scholar

[7] Nie sheng-dong, Li Lihong, Chen Zhaoxue. A XI feature-based pulmonary nodule segmentation using three-domain mean shift clustering [J]. Journal of East China Normal University. 2008(1): 60-67.

DOI: 10.1109/icwapr.2007.4420699

Google Scholar