5 citations · 7 across the 7 of their papers we have counts for
7 papers
MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems
Sudeb Majee, Anuj Abhishek, Thilo Strauss +1
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 vi…
Well-posedness of a Variable-Exponent Telegraph Equation Applied to Image Despeckling
Sudeb Majee, Åke Brännström, Niklas L. P. Lundström
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 telegrap…
On the Development of a Coupled Non-linear Telegraph-Diffusion Model for Image Restoration
Sudeb Majee, Subit K. Jain, Rajendra K. Ray +1
In this work, we propose a telegraph coupled partial differential equation (TCPDE) based model for image restoration. New framework interpolates between a couple of non-linear tele…
Well-posedness study of a non-linear hyperbolic-parabolic coupled system applied to image speckle reduction
Sudeb Majee, Rajendra K. Ray, Ananta K. Majee
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 ca…
A Gray Level Indicator-Based Regularized Telegraph Diffusion Equation Applied to Image Despeckling
Sudeb Majee, Rajendra K Ray, Ananta K Majee
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 diffusi…
Analysis and Simulation of a Coupled Diffusion based Image Denoising Model
Subit K. Jain, Sudeb Majee, Rajendra K. Ray +1
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 pr…