Appl. Sci. 11(23), p. 11482.
ISSN/ISBN: Not available at this time. DOI: 10.3390/app112311482
Abstract: The Newcomb–Benford law states that in a set of natural numbers, the leading digit has a probability distribution that decays logarithmically. One of its major applications is the JPEG compression of images, a field of great interest for domains such as image forensics. In this article, we study JPEG compression from the point of view of Benford’s law. The article focuses on ways to detect fraudulent images and JPEG quality factors. Moreover, using the image’s luminance channel and JPEG coefficients, we describe a technique for determining the quality factor with which a JPEG image is compressed. The algorithm’s results are described in considerably more depth in the article’s final sections. Furthermore, the proposed idea is applicable to any procedure that involves the analysis of digital images and in which it is strongly suggested that the image authenticity be verified prior to beginning the analyzing process.
Bibtex:
@article{,
title={Analyzing Benford’s Law’s Powerful Applications in Image Forensics},
volume={11},
ISSN={2076-3417},
url={http://dx.doi.org/10.3390/app112311482}, DOI={10.3390/app112311482},
number={23},
journal={Applied Sciences},
publisher={MDPI AG},
author={Crișan, Diana and Irimia, Alexandru and Gota, Dan and Miclea, Liviu and Puscasiu, Adela and Stan, Ovidiu and Valean, Honoriu},
year={2021},
month={Dec},
pages={11482} }
Reference Type: Journal Article
Subject Area(s): Computer Science, Image Processing