An Improved Adaptive Unsharp Masking Image Enhancement Algorithm

Li Zhu; Chun Qiang Zhu

doi:10.4028/www.scientific.net/AMM.325-326.1547

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 325-326An Improved Adaptive Unsharp Masking Image...

An Improved Adaptive Unsharp Masking Image Enhancement Algorithm

Abstract:

When needing a reliable adaptive image contrast enhancement in real-time processing such as digital TV postprocessing,This goal is achieved by an improved adaptive unsharp masking image enhancement algorithm in the paper. The proposed improved adaptive unsharp masking filter controls the contribution of the sharpening path by the output of Laplacian and works in such a way that contrast enhancement occurs in high detail areas and little or no image sharpening occurs in smooth areas. The experiment shows that this improved algorithm greatly reduce the complexity of computing and can be reliably used.

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Periodical:

Applied Mechanics and Materials (Volumes 325-326)

Pages:

1547-1550

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.325-326.1547

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Cite this paper

Online since:

June 2013

Authors:

Li Zhu, Chun Qiang Zhu

Keywords:

Adaptiv, Image Contrast Enhancement, Laplacian, Unsharp Masking

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References

[1] S.M. Pizer, E.P. Amburn, D.D. Austin, R.Cromartie, A.Geslowtz, T.Geer, B.tar Haar Remeny, J.B. Zimmerman, and K.Zuiderveld. Adaptive histogram equalization and its variations[J]. Comput. Vision, Graph. Image Processing, vol.39, 1987.3555-3368.

DOI: 10.1016/s0734-189x(87)80186-x

Google Scholar

[2] J.S. Lee. Digital image enhancement and noise filtering by use of local statistics [J].IEEE Transactions on pattern Anal Machine Intell., Volume: PAMI-2 ,Mar 1980.165 – 168.

DOI: 10.1109/tpami.1980.4766994

Google Scholar

[3] P.M. Narendra and R. C.Fitch.Real-time adaptive contrast enhancement[J]. IEEE Transactions on pattern Anal.Machine Intell., Volume: PAMI-3,Nov.1981.655– 661.

DOI: 10.1109/tpami.1981.4767166

Google Scholar

[4] G.Ramponi, N.Strobel, S.K. Mitra, and T.Yu. Nonlinear unsharp maskinging methods for image contrast enhance- ment[J]. Electron. Imag., vol.5, July1996.353–366.

Google Scholar

[5] G.Ramponi.A cubic unsharp maskinging technique for contrast enhancement[J].Signal Process., vol.67, June1998. 211– 222.

DOI: 10.1016/s0165-1684(98)00038-3

Google Scholar

[6] F.P.DeVries.Automatic, adaptive, brightness inde- pendent contrast enhancement[J].Signal Process., vol.21, Oct.1990. 169–182.

Google Scholar