Global and Adaptive Contrast Enhancement for Low Illumination Gray Images. - Canlin Li; Jinhua Liu; Anyi Liu; Qinge Wu; Lihua Bi (IEEE Access, 2019)

An adaptive enhancement method for low illumination color images. - Canlin Li; Jinhua Liu; Qinge Wu; Lihua Bi (Appl. Intell., 2021)

Mine image enhancement using adaptive bilateral gamma adjustment and double plateaus histogram equalization. - Canlin Li; Jinhua Liu; Jinjuan Zhu; Weizheng Zhang 001; Lihua Bi (Multim. Tools Appl., 2022)

EDMFEN: Edge detection-based multi-scale feature enhancement Network for low-light image enhancement. - Canlin Li; Shun Song; Pengcheng Gao; Wei Huang; Lihua Bi (KSII Trans. Internet Inf. Syst., 2024)

A pyramid transformer with cross-shaped windows for low-light image enhancement. - Canlin Li; Pengcheng Gao; Shun Song; Jinhua Liu; Lihua Bi (Soft Comput., 2024)

RCFNC: a resolution and contrast fusion network with ConvLSTM for low-light image enhancement. - Canlin Li; Shun Song; Xinyue Wang; Yan Liu; Lihua Bi (Vis. Comput., 2024)

Uvcgan-Dehaze: a dehazing method for unpaired images. - Canlin Li; Xiangfei Zhang; Wenjiao Zhang; Haowen Su; Lihua Bi (Soft Comput., 2024)

MCLGAN: a multi-style cartoonization method based on style condition information. - Canlin Li; Xinyue Wang; Ran Yi; Wenjiao Zhang; Lihua Bi; Lizhuang Ma (Vis. Comput., 2025)

Innovative collaborative multi-lookup table for real-time enhancement of low-light images. - Canlin Li; Haowen Su; Xin Tan; Lihua Bi; Xiangfei Zhang; Lizhuang Ma (Vis. Comput., 2025)