Name
Abstract | ||
|---|---|---|
This paper aims at detecting traces of median filtering in digital images, a problem of paramount importance in forensics given that filtering can be used to conceal traces of image tampering such as resampling and light direction in photomontages. To accomplish this objective, we present a novel approach based on multiple and multiscale progressive perturbations on images able to capture different median filtering traces through using image quality metrics. Such measures are then used to build a discriminative feature space suitable for proper classification regarding whether or not a given image contains signs of filtering. Experiments using a real-world scenario with compressed and uncompressed images show the effectiveness of the proposed method. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/978-3-319-12568-8_37 | PROGRESS IN PATTERN RECOGNITION IMAGE ANALYSIS, COMPUTER VISION, AND APPLICATIONS, CIARP 2014 |
Keywords | Field | DocType |
Median Filtering, Image Tampering, Image Forensics | Computer vision,Feature vector,Median filter,Pattern recognition,Computer science,Image quality,Filter (signal processing),Digital image,Artificial intelligence,Resampling,Discriminative model,Uncompressed video | Conference |
Volume | ISSN | Citations |
8827 | 0302-9743 | 1 |
PageRank | References | Authors |
0.36 | 18 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anselmo Castelo Branco Ferreira | 1 | 47 | 5.53 |
| Anderson Rocha | 2 | 913 | 69.11 |