AlBandawi, H and Deng, G (2018). Blind image quality assessment based on Benford's law. IET Image Processing 12(11), pp. 1983 – 1993.
This work cites the following items of the Benford Online Bibliography:
Benford, F (1938). The law of anomalous numbers. Proceedings of the American Philosophical Society, Vol. 78, No. 4 (Mar. 31, 1938), pp. 551572.





Bhattacharya, S and Kumar, K (2008). Forensic Accounting and Benford’s Law. IEEE Signal Processing Magazine, 25(2), p. 152. DOI:10.1109/MSP.2007.914724.





Fu, D, Shi, YQ and Su, W (2007). A generalized Benford’s law for JPEG coefficients and its applications in image forensics. Proceedings of SPIE, Volume 6505, Security, Steganography and Watermarking of Multimedia Contents IX, San Jose, California, January 28  February 1, 2007, pp. 65051L65051L11. DOI:10.1117/12.704723.





Li, B, Shi, YQ and Huang, J (2008). Detecting doubly compressed JPEG images by using mode based first digit features. Proceedings of 2008 IEEE 10th Workshop on Multimedia Signal Processing, pp. 730–735. DOI:10.1109/MMSP.2008.4665171.





Nigrini, MJ (1996). A taxpayer compliance application of Benford’s law. Journal of the American Taxation Association 18(1), pp. 7291.





Nigrini, MJ (2012). Benford's Law: Applications for Forensic Accounting, Auditing, and Fraud Detection . John Wiley & Sons: Hoboken, New Jersey. ISSN/ISBN:9781118152850. DOI:10.1002/9781119203094.





Qadir, G, Zhao, X and Ho, ATS (2010). Estimating JPEG2000 Compression for Image Forensics Using the
Benford’s Law. Proc. of SPIE Vol. 7723, pp. 77230J1 77230J10. DOI:10.1117/12.855085.




