Proceedings of the Korea Information Processing Society Conference (한국정보처리학회:학술대회논문집)
- 2013.05a
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- Pages.667-670
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- 2013
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- 2005-0011(pISSN)
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- 2671-7298(eISSN)
DOI QR Code
Image Forgery Detection Using a Noise Dependent Watershed Transformation
잡음종속 Watershed 변환을 이용한 이미지 위조 검출
- Doyoddorj, Munkhbaatar (Dept. of Information Security, Pukyong National University) ;
- Rhee, Kyung-Hyune (Dept. of IT Convergence and Application Engineering, Pukyong National University)
- ;
- 이경현 (부경대학교 IT 융합응용공학과)
- Published : 2013.05.10
Abstract
Noise is unwanted in high quality images, but it can aid image tampering. For example, noise can be intentionally added in image to conceal tampered regions or to create special visual effects. It may also be introduced unknowingly during camera imaging process, which makes the noise levels inconsistent in splicing images. In this paper, we present an image forgery detection method using a noise dependent watershed transformation. Image is segmented into objects for initial noise estimation by the watershed transformation, and different noise level in objects are estimated to obtain final decision result. Experimental results of the proposed method on natural images are presented.
Keywords