Abstract
A nonlinear image enhancement algorithm based on nonsubsampled contourlet transform (NSCT) is proposed. The image is decomposed into coefficients of different scales and directions through nonsubsampled contourlet transform. Thresholds of the nonlinear enhancement function are determined according to the coefficients of each scale. The two parameters of the function, among which one is used to control the range of enhancement and the other can determine the strength of enhancement, are obtained by solving nonlinear equations. The coefficients processed by the enhancement function are used to reconstruct the image. The simulation results on Matlab platform show that the algorithm has good effect of enhancing the detail of images and suppressing the noise signals meanwhile.
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References
Do MN, Vetterli M (2005) The contourlet transform: an efficient directional multiresolution image representation. IEEE Trans Image Process 14(12):2091–2106
da Cunha AL, Zhou J, Minh ND (2006) The nonsubsampled contourlet transform: theory, design, and applications. IEEE Trans Image Process 15(10):3089–3100
Laine AF, Schuler S, Fan J, Huda W (1994) Mammographic feature enhancement by multi scale analysis. IEEE Trans Med Imag 13(14):725–740
Zong X, Laine AF, Geiser EA (1998) Speckle reduction and contrast enhancement of echocardiograms via multiscale nonlinear processing. IEEE Trans Med Imag 17(4):532–540
Dong L, Bing Y, Mei Y (2008) Image enhancement based on the nonsubsampled contourlet transform and adaptive threshold. Acta Electronica Sinica 36(3):527–530
Gang W, Liang X, Anzhi H (2007) Algorithm research of adaptive fuzzy image enhancement in ridgelet transform domain. Acta Optica Sinica 27(7):1183–1190
Panetta K, Agaian S, Zhou Y (2011) Parameterized logarithmic framework for image enhancement. IEEE Trans Syst Man Cybernet 41(2):460–473
Tang J, Liu X, Sun Q (2009) A direct image contrast enhancement algorithm in the wavelet domain for screening mammograms. IEEE J Sel Top Signal Process 3(1):74–80
Hong J-H, Cho S-B, Cho U-K (2009) A novel evolutionary approach to image enhancement filter design: method and applications. IEEE Trans Syst Man Cybernet 39(6):1446–1457
Jingbo X, Xiuqin S, Tao L (2009) Image enhancement based on the contourlet transform and mathematical morphology. Acta Optica Sinica 38(1):224–227
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© 2014 Springer International Publishing Switzerland
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Tong, Y., Zhao, M., Wei, Z. (2014). Adaptive Threshold Nonlinear Image Enhancement Algorithm Based on NSCT Transform. In: Zhang, B., Mu, J., Wang, W., Liang, Q., Pi, Y. (eds) The Proceedings of the Second International Conference on Communications, Signal Processing, and Systems. Lecture Notes in Electrical Engineering, vol 246. Springer, Cham. https://doi.org/10.1007/978-3-319-00536-2_33
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DOI: https://doi.org/10.1007/978-3-319-00536-2_33
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