Forensic analysis of copy-move forgery in digital images using the stationary wavelets
| Autor: | Tabassam Nawaz, Mohsin Shah, Toqeer Mahmood, Zakir Khan, Zahid Mehmood, Rehan Ashraf |
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| Rok vydání: | 2016 |
| Předmět: |
Artifact (error)
Computer science business.industry Stationary wavelet transform Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020207 software engineering 02 engineering and technology Image editing computer.software_genre Digital image Wavelet 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer vision Algorithm design Data mining Noise (video) Artificial intelligence business computer |
| Zdroj: | 2016 Sixth International Conference on Innovative Computing Technology (INTECH). |
| DOI: | 10.1109/intech.2016.7845040 |
| Popis: | In this modern life, the digital images are being considered the main source of information sharing. The digital images are being used in various fields such as medical imaging, news reporting, crime investigation, insurance claims etc. However, in the presence of sophisticated image editing tools, the credibility of digital images is the main concern. The copy-move forgery (CMF) is a most popular forgery attack. In CMF, a region is duplicated elsewhere in the same image for producing a forged image. Thus, for detecting this particular artifact an algorithm is presented that utilizes Stationary Wavelet Transform (SWT). The experimental results demonstrate that the algorithm is capable of detecting duplicated blocks precisely and identify multiple CMF effectively, even when the images are contaminated by blurring and noise. The performance of our algorithm in comparison with other systems proves the efficacy of the system with a noticeable increase in detection ratios. |
| Databáze: | OpenAIRE |
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