Fourth-order partial differential equations for image enhancement

Article Properties
Cite
Yi, Dokkyun, and Sungyun Lee. “Fourth-Order Partial Differential Equations for Image Enhancement”. Applied Mathematics and Computation, vol. 175, no. 1, 2006, pp. 430-4, https://doi.org/10.1016/j.amc.2005.07.043.
Yi, D., & Lee, S. (2006). Fourth-order partial differential equations for image enhancement. Applied Mathematics and Computation, 175(1), 430-440. https://doi.org/10.1016/j.amc.2005.07.043
Yi D, Lee S. Fourth-order partial differential equations for image enhancement. Applied Mathematics and Computation. 2006;175(1):430-4.
Refrences
Title Journal Journal Categories Citations Publication Date
Fourth-order partial differential equations for noise removal IEEE Transactions on Image Processing
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
489 2000
A nonlinear primal–dual method for total variation-based image restoration SIAM Journal on Scientific Computing
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
1996
Iterative Methods for Total Variation Denoising SIAM Journal on Scientific Computing
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
608 1996
Behavioral analysis of anisotropic diffusion in image processing IEEE Transactions on Image Processing
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
217 1996
Analysis of bounded variation penalty methods for ill-posed problems Inverse Problems
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
  • Science: Physics
478 1994
Citations Analysis
The category Science: Mathematics 5 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Noise reduction and edge detection via kernel anisotropic diffusion and was published in 2008. The most recent citation comes from a 2023 study titled A Nonlinear Hybrid Diffusion Model for Image Denoising. This article reached its peak citation in 2021, with 2 citations. It has been cited in 10 different journals, 10% of which are open access. Among related journals, the Journal of Physics: Conference Series cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year