@inproceedings{27c0c31e4eaf482aacb0aeae8e9c3769,
title = "An image denoising method based on nonsubsampled contourlet transform with SQP optimization",
abstract = "In this paper, we propose an image denoising method based on nonsubsampled contourlet transform (NSCT) with successive quadratic programming (SQP) optimization. This method can obtain the optimal threshold for each subband without the priori information of the noise variance using SQP optimization and generalized cross validation (GCV) criterion. After the threshold is determined, a nonlinear threshold function is applied to overcome the inadequate of soft threshold and hard threshold function. The experimental results show that the proposed method has a better performance than other contourlet-based image denoising methods and outperforms on both visual quality and peak signal-to-noise ratio (PSNR).",
keywords = "Image denoising, generalized cross validation, nonlinear threshold function, nonsubsampled contourlet transform, successive quadratic programming",
author = "Chen Yang and Yaozhong Yu and Qingdong Li and Xiwang Dong and Zhang Ren",
note = "Publisher Copyright: {\textcopyright} 2017 Technical Committee on Control Theory, CAA.; 36th Chinese Control Conference, CCC 2017 ; Conference date: 26-07-2017 Through 28-07-2017",
year = "2017",
month = sep,
day = "7",
doi = "10.23919/ChiCC.2017.8028221",
language = "English",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "5455--5459",
editor = "Tao Liu and Qianchuan Zhao",
booktitle = "Proceedings of the 36th Chinese Control Conference, CCC 2017",
address = "United States",
}