LSR: Lightening super-resolution deep network for low-light image enhancement. - Muhammad Tahir Rasheed; Daming Shi 001 (Neurocomputing, 2022)

An Empirical Study on Retinex Methods for Low-Light Image Enhancement. - Muhammad Tahir Rasheed; Guiyu Guo; Daming Shi 001; Hufsa Khan; Xiaochun Cheng (Remote. Sens., 2022)

Pixel-Wise Polynomial Estimation Model for Low-Light Image Enhancement. - Muhammad Tahir Rasheed; Daming Shi 001 (KSII Trans. Internet Inf. Syst., 2023)

A comprehensive experiment-based review of low-light image enhancement methods and benchmarking low-light image quality assessment. - Muhammad Tahir Rasheed; Daming Shi 001; Hufsa Khan (Signal Process., 2023)

High-order polynomial interpolation with CNN: A robust approach for missing data imputation. - Hufsa Khan; Muhammad Tahir Rasheed; Han Liu 002; Shengli Zhang 001 (Comput. Electr. Eng., 2024)

Empirical study of outlier impact in classification context. - Hufsa Khan; Muhammad Tahir Rasheed; Shengli Zhang 001; Xizhao Wang; Han Liu 002 (Expert Syst. Appl., 2024)

Advancing low-light image enhancement through deep learning: A comprehensive experimental study. - Muhammad Tahir Rasheed; Hufsa Khan; Junsong Wang; Yan Kang (Knowl. Based Syst., 2025)