A study of effective variational models and efficient numerical methods for image registration. - Noppadol Chumchob (2010)

GPU-based total variation image restoration using Sliding Window Gauss-Seidel algorithm. - Banpot Dolwithayakul; Chantana Chantrapornchai; Noppadol Chumchob (ISPACS, 2011)

A robust multigrid approach for variational image registration models. - Noppadol Chumchob; Ke Chen 002 (J. Comput. Appl. Math., 2011)

A Fourth-Order Variational Image Registration Model and Its Fast Multigrid Algorithm. - Noppadol Chumchob; Ke Chen 002; Carlos Brito-Loeza (Multiscale Model. Simul., 2011)

A new variational model for removal of combined additive and multiplicative noise and a fast algorithm for its numerical approximation. - Noppadol Chumchob; Ke Chen 002; Carlos Brito-Loeza (Int. J. Comput. Math., 2013)

Vectorial Total Variation-Based Regularization for Variational Image Registration. - Noppadol Chumchob (IEEE Trans. Image Process., 2013)

Utilising the pipeline framework and state-based non-linear Gauss-Seidel for large satellite image denoising based on CPU-GPU cores. - Banpot Dolwithayakul; Chantana Chantrapornchai; Noppadol Chumchob (Int. J. Comput. Appl. Technol., 2015)

A novel image denoising approach based on a curvature-based regularization. - Siriwan Chankan; Noppadol Chumchob; Pornpimon Sroisangwan (Signal Image Video Process., 2023)