MTV: modified total variation model for image noise removal
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2011/01/01
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Journal
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Indian UGC (journal)
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Refrences10
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Citations35
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Y. Wang
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W. Chen
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S. Zhou
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T. Yu
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Y. Zhang
Cite
Wang, Y., et al. “MTV: Modified Total Variation Model for Image Noise Removal”. Electronics Letters, vol. 47, no. 10, 2011, p. 592, https://doi.org/10.1049/el.2010.3505.
Wang, Y., Chen, W., Zhou, S., Yu, T., & Zhang, Y. (2011). MTV: modified total variation model for image noise removal. Electronics Letters, 47(10), 592. https://doi.org/10.1049/el.2010.3505
Wang, Y., W. Chen, S. Zhou, T. Yu, and Y. Zhang. “MTV: Modified Total Variation Model for Image Noise Removal”. Electronics Letters 47, no. 10 (2011): 592. https://doi.org/10.1049/el.2010.3505.
Wang Y, Chen W, Zhou S, Yu T, Zhang Y. MTV: modified total variation model for image noise removal. Electronics Letters. 2011;47(10):592.
Journal Categories
Technology
Electrical engineering
Electronics
Nuclear engineering
Technology
Electrical engineering
Electronics
Nuclear engineering
Electric apparatus and materials
Electric circuits
Electric networks
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
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Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Title | 2010 | |||
| Adaptive non-convex total variation regularisation for image restoration | Electronics Letters |
| 13 | 2010 |
| The digital TV filter and nonlinear denoising | IEEE Transactions on Image Processing |
| 212 | 2001 |
| Iterative Image Restoration Combining Total Variation Minimization and a Second-Order Functional | International Journal of Computer Vision |
| 195 | 2006 |
| An Anisotropic Fourth-Order Diffusion Filter for Image Noise Removal | International Journal of Computer Vision |
| 104 | 2010 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| A fast computational technique based on a novel tangent sigmoid anisotropic diffusion function for image-denoising | Soft Computing |
| 2024 | |
Performance evaluation of 67 denoising filters in ultrasound images: A systematic comparison analysis | International Journal of Imaging Systems and Technology |
| 5 | 2023 |
| A new PDE learning model for image denoising | Neural Computing and Applications |
| 5 | 2022 |
| An efficient operator-splitting radial basis function-generated finite difference (RBF-FD) scheme for image noise removal based on nonlinear total variation models | Engineering Analysis with Boundary Elements |
| 1 | 2022 |
| A symmetrical self-diplexing microstrip antenna with eight-shaped defects | Journal of Electromagnetic Waves and Applications |
| 2 | 2022 |
Citations Analysis
The category
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks 16
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Edge adaptive directional total variation and was published in 2013. The most recent citation comes from a 2024 study titled A fast computational technique based on a novel tangent sigmoid anisotropic diffusion function for image-denoising. This article reached its peak citation in 2013, with 6 citations. It has been cited in 25 different journals, 12% of which are open access. Among related journals, the Computers & Mathematics with Applications cited this research the most, with 3 citations. The chart below illustrates the annual citation trends for this article.