Name
Abstract | ||
|---|---|---|
The popular histogram equalisation (HE) technique, which was developed to improve the image contrast, sometimes may also be misused to hide intensity variations in tampered images with ill intention. The authors investigate how existing image forensic techniques may fail to detect HE operation in highly compressed and low-resolution images. They then propose an algorithm to detect whether a given ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1049/iet-ipr.2017.0992 | IET Image Processing |
Keywords | Field | DocType |
data compression,discrete Fourier transforms,equalisers,frequency-domain analysis,image coding,image forensics,image resolution | Histogram,Computer vision,Pattern recognition,Digital image,JPEG,Artificial intelligence,Digital imaging,Discrete Fourier transform,Image histogram,Image resolution,Mathematics,Uncompressed video | Journal |
Volume | Issue | ISSN |
12 | 5 | 1751-9659 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zeeshan Akhtar | 1 | 0 | 0.34 |
| E. Khan | 2 | 56 | 12.71 |