Adaptive non-convex total variation regularisation for image restoration

Article Properties
Cite
Fu, S., and C. Zhang. “Adaptive Non-Convex Total Variation Regularisation for Image Restoration”. Electronics Letters, vol. 46, no. 13, 2010, p. 907, https://doi.org/10.1049/el.2010.0027.
Fu, S., & Zhang, C. (2010). Adaptive non-convex total variation regularisation for image restoration. Electronics Letters, 46(13), 907. https://doi.org/10.1049/el.2010.0027
Fu S, Zhang C. Adaptive non-convex total variation regularisation for image restoration. Electronics Letters. 2010;46(13):907.
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
Refrences
Title Journal Journal Categories Citations Publication Date
10.1109/TPAMI.2008.23 2008
A feature-dependent fuzzy bidirectional flow for adaptive image sharpening Neurocomputing
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
19 2007
10.1007/b98879
10.1137/1.9780898717877
10.1016/0167-2789(92)90242-F
Citations
Title Journal Journal Categories Citations Publication Date
A convex nonlocal total variation regularization algorithm for multiplicative noise removal EURASIP Journal on Image and Video Processing
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Photography
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
6 2019
A new local and nonlocal total variation regularization model for image denoising Cluster Computing
  • Science: Science (General): Cybernetics: Information theory
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
4 2018
Retinal Image Enhancement Using Robust Inverse Diffusion Equation and Self-Similarity Filtering PLOS ONE
  • Medicine
  • Science
  • Science: Science (General)
2 2016
Image Denoising viaL0Gradient Minimization with Effective Fidelity Term

Mathematical Problems in Engineering
  • Technology: Engineering (General). Civil engineering (General)
  • Science: Mathematics
  • Science: Mathematics
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Engineering (General). Civil engineering (General)
2 2015
Improved L0 Gradient Minimization with L1 Fidelity for Image Smoothing PLOS ONE
  • Medicine
  • Science
  • Science: Science (General)
8 2015
Citations Analysis
The category Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks 4 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Adaptive bidirectional diffusion for image restoration and was published in 2010. The most recent citation comes from a 2019 study titled A convex nonlocal total variation regularization algorithm for multiplicative noise removal. This article reached its peak citation in 2014, with 3 citations. It has been cited in 11 different journals, 36% of which are open access. Among related journals, the PLOS ONE cited this research the most, with 3 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year