Improved L0 Gradient Minimization with L1 Fidelity for Image Smoothing
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2015/09/18
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Journal
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Indian UGC (journal)
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Refrences37
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Citations8
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Xueshun Pang
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Suqi Zhang
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Junhua Gu
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Lingling Li
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Boying Liu
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Huaibin Wang
Cite
Pang, Xueshun, et al. “Improved L0 Gradient Minimization With L1 Fidelity for Image Smoothing”. PLOS ONE, vol. 10, no. 9, 2015, p. e0138682, https://doi.org/10.1371/journal.pone.0138682.
Pang, X., Zhang, S., Gu, J., Li, L., Liu, B., & Wang, H. (2015). Improved L0 Gradient Minimization with L1 Fidelity for Image Smoothing. PLOS ONE, 10(9), e0138682. https://doi.org/10.1371/journal.pone.0138682
Pang X, Zhang S, Gu J, Li L, Liu B, Wang H. Improved L0 Gradient Minimization with L1 Fidelity for Image Smoothing. PLOS ONE. 2015;10(9):e0138682.
Journal Categories
Medicine
Science
Science
Science (General)
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Feature-preserving filtering with L0 gradient minimization | Computers & Graphics |
| 40 | 2014 |
| Image denoising using modified Perona–Malik model based on directional Laplacian | Signal Processing |
| 55 | 2013 |
| Anisotropic second and fourth order diffusion models based on Convolutional Virtual Electric Field for image denoising | Computers & Mathematics with Applications |
| 37 | 2013 |
| Edge-Preserving Texture Suppression Filter Based on Joint Filtering Schemes | IEEE Transactions on Multimedia |
| 2013 | |
| Fringe pattern denoising via image decomposition | 2012 |
Refrences Analysis
The category
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software 5
is the most frequently represented among the references in this article. It primarily includes studies from IEEE Transactions on Multimedia and Image and Vision Computing. The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Compression artifacts reduction with multiscale tensor regularization | Multidimensional Systems and Signal Processing |
| 1 | 2020 |
| Smoothing of Mammogram Using an Improved Gradient based Technique | Advanced Biomedical Engineering |
| 2020 | |
| Patch-Based Nonlocal Adaptive Gradient Regularization for Image Restoration in Sensor Networks | IEEE Access |
| 2019 | |
| Image smoothing via truncated gradient regularisation | IET Image Processing |
| 4 | 2018 |
A Convex Model for Edge-Histogram Specification with Applications to Edge-Preserving Smoothing | Axioms |
| 2 | 2018 |
Citations Analysis
The category
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks 5
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Depth Image Inpainting: Improving Low Rank Matrix Completion With Low Gradient Regularization and was published in 2017. The most recent citation comes from a 2020 study titled Smoothing of Mammogram Using an Improved Gradient based Technique. This article reached its peak citation in 2018, with 3 citations. It has been cited in 7 different journals, 57% of which are open access. Among related journals, the IEEE Transactions on Image Processing cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.