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Adaptive Threshold Nonlinear Image Enhancement Algorithm Based on NSCT Transform

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The Proceedings of the Second International Conference on Communications, Signal Processing, and Systems

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 246))

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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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Correspondence to Ying Tong .

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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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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-00535-5

  • Online ISBN: 978-3-319-00536-2

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