Abstract
An algorithm for image enhancement based on nonsubsampled contourlet transform (NSCT) is proposed. NSCT is multiresolutional, localized, multidirectional and anisotropic so it can more effectively capture high dimensional singularity. Firstly, the coefficients at different scales and in different directions are obtained by image decomposition using the NSCT, then with these coefficients thresholds are adaptively set and the generalized nonlinear gain function is used to enhance the features with low contrast while protecting the strong contrast features from over enhancing in the NSCT domain. The experiment results show that the algorithm achieve a good effect.
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Changxia, M., Ye, B., Hongan, J., Yunping, C., Zhanqiang, Z. (2013). Image Enhancement Based on NSCT. In: Du, Z. (eds) Intelligence Computation and Evolutionary Computation. Advances in Intelligent Systems and Computing, vol 180. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31656-2_100
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DOI: https://doi.org/10.1007/978-3-642-31656-2_100
Publisher Name: Springer, Berlin, Heidelberg
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