Graph Generation and Total Variation Forensics For JPEG Compression
| Author(s) | : | P. S. Gaikwad, Gayatri Nanoti, Prajakta Wagh |
| Institution | : | Assistant Professor, Department of Computer Engineering, AISSMSIOIT, PUNE, Maharashtra, India |
| Published In | : | Vol. 3, Issue 4 — April 2016 |
| Page No. | : | 11-16 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
The widespread availability of photo editing software has made it easy to create visuallyconvincing digitalimage forgeries. The field of anti-forensics seeks to developa set of techniques designed to fool current forensicmethodologies. There exists atechnique for disguising an images JPEG compression history. An image’s JPEGcompressionhistory can be used to provide evidence of image manipulation, supplyinformation about the camera used to generate animage, and identify forged regionswithin an image. The technique includes proper addition of noise to an imagesdiscretecosine transform coefficients which can sufficiently remove quantization artifacts,acts as indicators of JPEG compressionwhile introducing an acceptable levelof distortion. A forensic analyst is able to counter above technique by usingtotalvariation concept of signal.
P. S. Gaikwad, Gayatri Nanoti, Prajakta Wagh, “Graph Generation and Total Variation Forensics For JPEG Compression”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 3, Issue 4, pp. 11-16, April 2016.
