Coupled K-SVD dictionary training for super-resolution. - Jian Xu 017; Chun Qi; Zhiguo Chang (ICIP, 2014)

Noisy image magnification with total variation regularization and order-changed dictionary learning. - Jian Xu 017; Zhiguo Chang; Jiulun Fan 001; Xiaoqiang Zhao 001; Xiaomin Wu; Yanzi Wang (EURASIP J. Adv. Signal Process., 2015)

Wavelet Domain Multidictionary Learning for Single Image Super-Resolution. - Xiaomin Wu; Jiulun Fan 001; Jian Xu 017; Yanzi Wang (J. Electr. Comput. Eng., 2015)

Image superresolution by midfrequency sparse representation and total variation regularization. - Jian Xu 017; Zhiguo Chang; Jiulun Fan 001; Xiaoqiang Zhao 001; Xiaomin Wu; Yanzi Wang (J. Electronic Imaging, 2015)

Super-resolution via adaptive combination of color channels. - Jian Xu 017; Zhiguo Chang; Jiulun Fan 001; Xiaoqiang Zhao 001; Xiaomin Wu; Yanzi Wang; Xiaodan Zhang (Multim. Tools Appl., 2017)

Reverse Sparse Representation for Single Image Super-Resolution. - Jian Xu 017; Chunyu Wang; Jiulun Fan 001 (J. Comput., 2018)

Discarding jagged artefacts in image upscaling with total variation regularisation. - Jian Xu 017; Meng Li; Jiulun Fan 001; Wen Xie (IET Image Process., 2019)

Self-Learning Super-Resolution Using Convolutional Principal Component Analysis and Random Matching. - Jian Xu 017; Meng Li; Jiulun Fan 001; Xiaoqiang Zhao 001; Zhiguo Chang (IEEE Trans. Multim., 2019)

Two-direction self-learning super-resolution propagation based on neighbor embedding. - Jian Xu 017; Yan Gao; Jun Xing; Jiulun Fan 001; Qiannan Gao; Shaojie Tang 002 (Signal Process., 2021)

A super-resolution algorithm for tire images based on second-order channel attention. - Yutong Li; Ping Bi; Ying Liu 026; Jian Xu 017 (AIPR, 2023)

Multi-loss Super-Resolution Generative Adversarial Network. - Jian Xu 017; Chunmeng He (AIPR, 2023)

Image Super-Resolution Based on Variational Autoencoder and Channel Attention. - Jian Xu 017; Yurong Zhao (AIPR, 2023)