필터링 영상에 대한 디지털 이미지 위변조 분석
Detection of Digital Forgeries for the filtering images
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참고문헌
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초록
Digital image forensics is one of emerging research fields determining the integrity and authenticity for digital images. Most digital forgeries consist of tampered regions involved interpolation technologies between pixels for digital filtering images. This paper proposes a new method for detecting digital forgery using the differential technique from digital filtering images. Our approach can detect the forgery images to process the filters of Adobe Photoshop from the digital image taken by the photographic image. We present experimental results demonstrate detecting the forgery images used as each filters for a tool of Adobe Photoshop. We also show the proposed approaches are to accurately detect the interpolated regions and factors from digital filtering images.
Abstract
Digital image forensics is one of emerging research fields determining the integrity and authenticity for digital images. Most digital forgeries consist of tampered regions involved interpolation technologies between pixels for digital filtering images. This paper proposes a new method for detecting digital forgery using the differential technique from digital filtering images. Our approach can detect the forgery images to process the filters of Adobe Photoshop from the digital image taken by the photographic image. We present experimental results demonstrate detecting the forgery images used as each filters for a tool of Adobe Photoshop. We also show the proposed approaches are to accurately detect the interpolated regions and factors from digital filtering images.
참고문헌 (8)
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- A. Popescu, "Statistical tools for digital forensics", in 6th International Workshop on Information Hiding, pp.128~147 (2004)
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- 이정범, "보간을 근거로 한 디지털 이미지의 위, 변조 분석 연구", AURA, (16), pp.20~29 (2007), 한국사진학회