Edge and contrast preserving in total variation image denoising. - Liming Tang; Zhuang Fang (EURASIP J. Adv. Signal Process., 2016)

Image selective restoration using multi-scale variational decomposition. - Liming Tang; Zhuang Fang; Changcheng Xiang; Shiqiang Chen (J. Vis. Commun. Image Represent., 2016)

Nonconvex and nonsmooth total generalized variation model for image restoration. - Honglu Zhang; Liming Tang; Zhuang Fang; Changcheng Xiang; Chunyan Li (Signal Process., 2018)

A generalized hybrid nonconvex variational regularization model for staircase reduction in image restoration. - Liming Tang; Yanjun Ren; Zhuang Fang; Chuanjiang He (Neurocomputing, 2019)

A novel natural image noise level estimation based on flat patches and local statistics. - Zhuang Fang; Xuming Yi (Multim. Tools Appl., 2019)

A non-convex ternary variational decomposition and its application for image denoising. - Liming Tang; Liang Wu; Zhuang Fang; Chunyan Li (IET Signal Process., 2022)

Generalized Low-Rank Matrix Completion Model with Overlapping Group Error Representation. - Wenjing Lu; Zhuang Fang; Liang Wu; Liming Tang; Hanxin Liu; Chuanjiang He (CoRR, 2024)

A coupled non-convex hybrid regularization and weak H-1 image decomposition model for denoising application. - Wenjing Lu; Zhuang Fang; Liang Wu; Liming Tang; Hanxin Liu (J. Appl. Math. Comput., 2024)

Noise level estimation based on eigenvalue learning. - Hanxin Liu; Zhuang Fang; Wenjing Lu (Multim. Tools Appl., 2024)

ERD: Exponential Retinex decomposition based on weak space and hybrid nonconvex regularization and its denoising application. - Liang Wu; Wenjing Lu; Liming Tang; Zhuang Fang (Digit. Signal Process., 2025)

Plug-and-Play ADMM for Embedded Noise Level Estimation. - Hanxin Liu; Zhuang Fang; Liming Tang; Wenjing Lu (J. Math. Imaging Vis., 2025)