Total Variation Filter via Multiquadric Radial Basis Function Approximation Scheme for Additive Noise Removal

• Published in: IEEE access Vol. 8; pp. 88241 - 88258
• Main Authors: Khan, Mushtaq Ahmad, Altamimi, Ahmed B., Khan, Zawar Hussain, Khattak, Khurram Shehzad, Ali, Murtaza, Ullah, Asmat, Khan, Sheraz, Khan, Muhammad Sohail, Abrar, Muhammad Faisal
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Additive noise; Algorithms; Data points; digital total variation (DTV) filter; Digital TV; Image denoising; Image edge detection; Image restoration; Mathematical analysis; Mathematical model; Meshless methods; meshless scheme; Minimization; multiquadric radial basis function (MQ-RBF); Noise; Noise reduction; Post-processing; Radial basis function; Regularization; restoration equation; Signal to noise ratio; traditional scheme; Visual effects; Visual signals

The Digital Total Variation (DTV) scheme is a digitized energy regularization scheme used for image denoising. This technique takes advantage of being applied to arbitrarily located data points and also has the edge detective property. This article aims to introduce a novel meshless scheme using DTV...