Cross Reference Up

Varga, D (2021). Analysis of Benford’s Law for No-Reference Quality Assessment of Natural, Screen-Content, and Synthetic Images . Electronics 10(19), p. 2378.

This work is cited by the following items of the Benford Online Bibliography:

Note that this list may be incomplete, and is currently being updated. Please check again at a later date.

Hao, X, Li, X, Wu, J, Wei, B, Song, Y and Li, B (2024). A No-Reference Quality Assessment Method for Hyperspectral Sharpened Images via Benford’s Law. Remote Sensing, 16(7):1167. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Kobiela, J and Dzierwa, P (2024). Application of Benford’s Law to the Identification of Non-authentic Digital Images. Proceedings of the 22nd International Conference on Advances in Mobile Computing and Multimedia Intelligence, MoMM 2024, held in Bratislava, Slovak Republic, pp. 115-129 . DOI:10.1007/978-3-031-78049-3_12. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Maza-Quiroga, R, Thurnhofer-Hemsi, K, López-Rodríguez, D and López-Rubio, E (2023). Regression of the Rician Noise Level in 3D Magnetic Resonance Images from the Distribution of the First Significant Digit . Axioms 12, pp. 1117 . DOI:10.3390/axioms12121117. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Shen, RY (2025). Autonomous learning behaviors in an online coding community: A comparison between project viewing/playing and code remixing in Scratch using Benford’s law. Journal of Digital Educational Technology 5(1), pp. ep2501. DOI:10.30935/jdet/15808. View Complete Reference Online information Works that this work references No Bibliography works reference this work