Sudeb Majee
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View article: MCMC-Net: accelerating Markov Chain Monte Carlo with neural networks for inverse problems
MCMC-Net: accelerating Markov Chain Monte Carlo with neural networks for inverse problems Open
In many computational problems, using the Markov Chain Monte Carlo (MCMC) can be prohibitively time-consuming. We propose MCMC-Net, a simple yet efficient way to accelerate MCMC via neural networks. The key idea of our approach is to subst…
View article: Well-posedness of a variable-exponent telegraph equation applied to image despeckling
Well-posedness of a variable-exponent telegraph equation applied to image despeckling Open
In this paper, we present a telegraph diffusion model with variable exponents for image despeckling. Moving beyond the traditional assumption of a constant exponent in the telegraph diffusion framework, we explore three distinct variable e…
View article: MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems
MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Open
In many computational problems, using the Markov Chain Monte Carlo (MCMC) can be prohibitively time-consuming. We propose MCMC-Net, a simple yet efficient way to accelerate MCMC via neural networks. The key idea of our approach is to subst…
View article: Well-posedness of a Variable-Exponent Telegraph Equation Applied to Image Despeckling
Well-posedness of a Variable-Exponent Telegraph Equation Applied to Image Despeckling Open
In this paper, we present a telegraph diffusion model with variable exponents for image despeckling. Moving beyond the traditional assumption of a constant exponent in the telegraph diffusion framework, we explore three distinct variable e…
View article: On the existence and uniqueness of weak solutions of a coupled diffusion system related to image restoration
On the existence and uniqueness of weak solutions of a coupled diffusion system related to image restoration Open
In this study, the existence and uniqueness of the weak solution of a coupled diffusion system is presented. Since the considered problem is coupled and nonlinear, first we consider a corresponding linearized problem and then use a weak co…
View article: A fuzzy edge detector driven telegraph total variation model for image despeckling
A fuzzy edge detector driven telegraph total variation model for image despeckling Open
Speckle noise suppression is a challenging and crucial pre-processing stage for higher-level image analysis. In this work, a new attempt has been made using telegraph total variation equation and fuzzy set theory for image despeckling. The…
View article: Well-posedness study of a non-linear hyperbolic-parabolic coupled system applied to image speckle reduction
Well-posedness study of a non-linear hyperbolic-parabolic coupled system applied to image speckle reduction Open
In this article, we consider a non-linear hyperbolic-parabolic coupled system based on telegraph diffusion framework applied to image despeckling. A separate equation is used to calculate the edge variable, which improves the quality of th…
View article: A Gray Level Indicator-Based Regularized Telegraph Diffusion Equation Applied to Image Despeckling
A Gray Level Indicator-Based Regularized Telegraph Diffusion Equation Applied to Image Despeckling Open
In this work, a gray level indicator based non-linear telegraph diffusion model is presented for multiplicative noise removal problem. Most of the researchers focus only on diffusion equation-based model for multiplicative noise removal pr…
View article: Analysis and Simulation of a Coupled Diffusion based Image Denoising Model
Analysis and Simulation of a Coupled Diffusion based Image Denoising Model Open
In this study, a new coupled Partial Differential Equation (CPDE) based image denoising model incorporating space-time regularization into non-linear diffusion is proposed. This proposed model is fitted with additive Gaussian noise which p…