@inproceedings{f176f1254c274036a0535937610d3d18,
title = "An adaptive threshold method based on the local energy of NSCT coefficients for image denoising",
abstract = "In this paper, we propose a new adaptive denoising method based on nonsubsampled Contourlet transform(NSCT). Traditional Wavelet provides only three directional components so that its geometrical property is not well, and Contourlet transform lacks translation invariance, therefore NSCT is developed. The proposed algorithm can adapt different thresholds on different scales and different directions. Further more, we use different thresholds in a directional subband according to local energy of NSCT coefficients to overcome the disadvantages of the unified threshold de-noising method and other fixed thresholds, which cause the image fuzzy distortion because of {"}over-killed{"}. The experimental results prove that the algorithm outperforms existing schemes in both peak-signal-to-noise-ratio (PSNR) and visual quality.",
keywords = "Adaptive threshold, Image de-noising, Local energy, Nonsubsampled Contourlet transform, Translation invariance",
author = "Xiyu Liu and Xiaolan Yao and Xin Chen",
year = "2013",
doi = "10.1007/978-3-642-31698-2_40",
language = "English",
isbn = "9783642316975",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "279--285",
booktitle = "Proceedings of the 2012 International Conference on Communication, Electronics and Automation Engineering",
address = "Germany",
}