1992 - Leonid I. Rudin, Stanley Osher, and Emad Fatemi. 1992. Nonlinear total variation based noise removal algorithms. Phys. D 60, 1–4 (Nov. 1, 1992), 259–268. https://doi.org/10.1016/0167-2789(92)90242-F
2004 - Motwani, Mukesh & Gadiya, Mukesh & Motwani, Rakhi & Harris, Frederick. (2004). Survey of image denoising techniques.
2007 - T. Chen, Z. Lin, C. Chen and C. Kao, "A Fast Video Noise Reduction Method by Using Object-Based Temporal Filtering," Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007), 2007, pp. 515-518, doi: 10.1109/IIH-MSP.2007.19.
2007 - K. Dabov, A. Foi, V. Katkovnik and K. Egiazarian, "Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering," in IEEE Transactions on Image Processing, vol. 16, no. 8, pp. 2080-2095, Aug. 2007, doi: 10.1109/TIP.2007.901238.
Image and video denoising by sparse 3D transform-domain collaborative filtering Block-matching and 3D filtering (BM3D) algorithm and its extensions
2008 - M. Zhang and B. K. Gunturk, "Multiresolution Bilateral Filtering for Image Denoising," in IEEE Transactions on Image Processing, vol. 17, no. 12, pp. 2324-2333, Dec. 2008, doi: 10.1109/TIP.2008.2006658.
2009 - X. Lu and H. Sakaino, "A spatial adaptive filter for smoothing of non-Gaussian texture noise," 2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009, pp. 841-844, doi: 10.1109/ICASSP.2009.4959715.
2012 - Preethi, S. & Narmadha, D.. (2012). A Survey on Image Denoising Techniques. International Journal of Computer Applications. 58. 27-30. 10.5120/9288-3488.
2014 - Hojin Cho, Hyunjoon Lee, Henry Kang, and Seungyong Lee. 2014. Bilateral texture filtering. ACM Trans. Graph. 33, 4, Article 128 (July 2014), 8 pages. https://doi.org/10.1145/2601097.2601188
2017 - N. Divakar and R. V. Babu, "Image Denoising via CNNs: An Adversarial Approach," 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2017, pp. 1076-1083, doi: 10.1109/CVPRW.2017.145.
2017 - K. Zhang, W. Zuo, Y. Chen, D. Meng and L. Zhang, "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising," in IEEE Transactions on Image Processing, vol. 26, no. 7, pp. 3142-3155, July 2017, doi: 10.1109/TIP.2017.2662206.
2020 - T. Tirer and R. Giryes, "Back-Projection Based Fidelity Term for Ill-Posed Linear Inverse Problems," in IEEE Transactions on Image Processing, vol. 29, pp. 6164-6179, 2020, doi: 10.1109/TIP.2020.2988779.
2016 - Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections
2017 - Unrolled Optimization with Deep Priors
2017 - Benchmarking Denoising Algorithms with Real Photographs
2018 - A Brief Review of Real-World Color Image Denoising
2018 - Unprocessing Images for Learned Raw Denoising
2015 - On learning optimized reaction diffusion processes for effective image restoration
2018 - Noise2Noise: Learning Image Restoration without Clean Data
Noise2Noise: Learning Image Restoration without Clean Data | Research
2019 - DVDnet: A Fast Network for Deep Video Denoising
2019 - FastDVDnet: Towards Real-Time Deep Video Denoising Without Flow Estimation
2019 - EDVR: Video Restoration with Enhanced Deformable Convolutional Networks
2019 - Deep Learning on Image Denoising: An overview
2020 - Zhaoming, Kong & Yang, Xiaowei & He, Lifang. (2020). A Comprehensive Comparison of Multi-Dimensional Image Denoising Methods.
标签：pp,doi,Denoising,Image,10.1109,Reduction,paper,Noise,2017
来源： https://www.cnblogs.com/4thirteen2one/p/16611591.html