Open Access
Issue
ITM Web Conf.
Volume 11, 2017
2017 International Conference on Information Science and Technology (IST 2017)
Article Number 02004
Number of page(s) 10
Section Session II: Computer Vision and Image Processing
DOI https://doi.org/10.1051/itmconf/20171102004
Published online 23 May 2017
  1. Li X C, Bian S X, Li Y Y, Survey of convex energy functional regularization model of image restoration[J], Journal of Image and Graphics, 21, 4(2016) [Google Scholar]
  2. Zhang Zhengrong, Zhang Jun, Wei Zhihui, Cartoon-texture composite regularization based nonblind deblurring method for partly-textured blurred images with Poisson noise [J], Signal Processing, 116, 11(2015) [Google Scholar]
  3. Li X C, Ma S Y, Bian S X, Application of dual algorithm to TV-L1 deblurring model of frame domain[J], Journal of Image and Graphics, 20, 11(2015) [Google Scholar]
  4. Li Fang, Shen Chaomin, Fan Jingsong, Image restoration combining a total variational filter and a fourth-order filter [J], Journal of Visual Communication and Image Representation, 18, 4(2007) [Google Scholar]
  5. Beck Amir, Teboulle Marc, A fast dual proximal gradient algorithm for convex minimization and applications, Operations Research Letters, 42, 1(2014) [CrossRef] [MathSciNet] [Google Scholar]
  6. Jiang Le, Huang Jin, Lv Xiaoguang, Alternating direction method for the high-order total variation-based Poisson noise removal problem [J], Numerical Algorithms, 69, 3(2015) [CrossRef] [MathSciNet] [Google Scholar]
  7. Fan Qibin, Jiang Dandan, Jiao Yuling. A multi-parameter regularization model for image restoration [J], Signal Processing, 114, 9(2015) [Google Scholar]
  8. Becker Stephen, Bobin Jerome, Candes Emmanuel J, NESTA: a fast and accurate first-order method for sparse recovery [J], SIAM Journal on Imaging Sciences, 4, 1(2011) [CrossRef] [MathSciNet] [Google Scholar]
  9. Yang Z Z, Zhou J L, Lang F N, Noise detection and image de-noising based on fractional calculus [J], Journal of Image and Graphics, 19, 10(2014) [Google Scholar]
  10. Fan W, Cai G G, Zhu Z K, Sparse representation of transients in wavelet basis and its application in gearbox fault feature extraction [J], Mechanical Systems and Signal Processing, 56-57, 5(2015 ) [Google Scholar]
  11. Cai Jian-Feng, Ji Hui, Shen Zuowei, Data-driven tight frame construction and image denoising [J], Applied and Computational Harmonic Analysis, 37, 1(2014) [CrossRef] [MathSciNet] [Google Scholar]
  12. Daubechies I, Han B, Ron A, Framelets: mra-based constructions of wavelet frames [J], Applied and Computational Harmonic Analysis, 14, 1(2003) [CrossRef] [MathSciNet] [Google Scholar]
  13. Cai J F, Chan R, Shen Z W, A framelet-based image inpainting algorithm [J], Applied and Computational Harmonic Analysis, 24, 2(2008) [MathSciNet] [Google Scholar]
  14. Selesnick Ivan W, Abdelnour, Symmetric wavelet tight frames with two generators [J], Applied and Computational Harmonic Analysis, 17, 2(2004) [MathSciNet] [Google Scholar]
  15. Li X C, Expectation maximization method for parameter estimation of image statistical model[J], Journal of Image and Graphics, 17, 6(2012) [Google Scholar]
  16. Curtis R. Vogel, Computational methods for inverse problems(SIAM: Society for Industrial and Applied Mathematics, 2002) [CrossRef] [Google Scholar]
  17. Eckstein J, Bertsekas D P, On the Douglas-Rachford splitting method and the proximal algorithm for maximal monotone operators [J]. Mathematical Programming, 55, 1(1992) [CrossRef] [MathSciNet] [Google Scholar]
  18. Antonin Chambolle, An algorithm for total variation minimization and applications, Journal of Mathematical Imaging and Vision, 20, 1–2(2004) [Google Scholar]
  19. Clason Christian, Jin Bangti, Kunisch Kral, A duality-based splitting method for l1-tv image restoration with automatic regularization parameter choice, SIAM Journal on Scientific Computing, 32, 3(2010) [MathSciNet] [Google Scholar]
  20. Yang J, Zhang Y, Yin W, An efficient tv-l1 algorithm for deblurring multichannel images corrupted by impulsive noise, SIAM Journal on Scientific Computing, 31, 4(2009) [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.