
Copy-move is one of the most common method for image tampering. Many methods have been proposed to detect the tampered regions. However, it is hard to detect the tampered regions when they are rotated before being pasted. To solve the problem, this paper presents a novel approach for detecting region-duplication forgery with rotation. Polar Harmonic Transform (PHT) is employed to extract the features of the circular blocks, which are then used to perform block matching. Experimental results show that the proposed method is not only robust to added noise and JPEG compression, but also robust to object rotation. Simulation results demonstrate the performances of the proposed scheme.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 18 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
