Funder
National Natural Science Foundation of China
Jiangxi Provincial Natural Science Foundation
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Reference25 articles.
1. Xu, S., Liu, T., Zhang, G., Tang, Y.: A two-stage noise level estimation using automatic feature extraction and mapping model. IEEE Signal Process. Lett. 26(1), 179–183 (2019)
2. Zhang, K., Zuo, W., Zhang, L.: FFDNet: toward a fast and flexible solution for CNN-based image denoising. IEEE Trans. Image Process. 27(9), 4608–4622 (2018)
3. Yang, D., Sun, J.: BM3D-Net: a convolutional neural network for transform-domain collaborative filtering. IEEE Signal Process. Lett. 25(1), 55–59 (2018)
4. Dong, L., Zhou, J., Tang, Y.Y.: Noise level estimation for natural images based on scale-invariant kurtosis and piecewise stationarity. IEEE Trans. Image Process. 26(2), 1017–1030 (2017)
5. Rakhshanfar, M., Amer, M.A.: Estimation of Gaussian, Poissonian–Gaussian, and processed visual noise and its level function. IEEE Trans. Image Process. Publ. IEEE Signal Process. Soc. 25(9), 4172–4185 (2016)
Cited by
10 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献