Forensics of High Quality and Nearly Identical JPEG Image Recompression
| Title | Forensics of High Quality and Nearly Identical JPEG Image Recompression |
| Publication Type | Conference Paper |
| Year of Publication | 2016 |
| Authors | Pasquini, Cecilia, Schöttle, Pascal, Böhme, Rainer, Boato, Giulia, Pèrez-Gonzàlez, Fernando |
| Conference Name | Proceedings of the 4th ACM Workshop on Information Hiding and Multimedia Security |
| Publisher | ACM |
| Conference Location | New York, NY, USA |
| ISBN Number | 978-1-4503-4290-2 |
| Keywords | Collaboration, composability, double compression, high quality images, Human Behavior, information forensics, jpeg forensics, Metrics, pubcrawl, Resiliency, Scalability |
| Abstract | We address the known problem of detecting a previous compression in JPEG images, focusing on the challenging case of high and very high quality factors (textgreater= 90) as well as repeated compression with identical or nearly identical quality factors. We first revisit the approaches based on Benford-Fourier analysis in the DCT domain and block convergence analysis in the spatial domain. Both were originally conceived for specific scenarios. Leveraging decision tree theory, we design a combined approach complementing the discriminatory capabilities. We obtain a set of novel detectors targeted to high quality grayscale JPEG images. |
| URL | http://doi.acm.org/10.1145/2909827.2930787 |
| DOI | 10.1145/2909827.2930787 |
| Citation Key | pasquini_forensics_2016 |