CCTV 영상 등의 사진 조작여부 판단을 위한 인위적 피사체 검출기법
Adaptive Object Extraction Method for Detecting Forgeries on Images from CCTVs
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참고문헌
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초록
폐쇄회로 TV (CCTV) 등 사진에서 나타나는 다양하고 정교한 조작에 대응하기 위하여, 기구현된 알고리즘12 내의 파라미터 값들을 감정인의 주관과 역량에 따라 인위적으로 조절하여 조작된 사진을 효율적으로 검출하는 기법을 연구하였다. 대표적인 사진조작 방법인 copy-move 조작의 검출 알고리즘 중 하나를 구현하고 분석한 결과, 해당 알고리즘은 자체적으로 가정된 환경 또는 제약조건 등에 따라 다양하게 설정된 파라미터들이 존재한다. 이들 파라미터를 감정인이 분석하려는 사진에 따라 인위적으로 변경함으로써, 실험에 사용된 copy-move 조작사진 중에서 약 87%의 사진을 효과적으로 검출할 수 있었다.
Abstract
In order to cope with various and sophisticated image forgeries such as images from CCTVs (Closed- Circuit Televisions), a method for efficiently detecting forged images is studied by adaptively adjusting the parameter values in the implemented algorithms12 according to the subjectivity and capability of the expert. As a result of analyzing one of the detection algorithms of the copy-move forgery, which is a typical image forgery manner, the algorithm has various parameters set according to the assumed environment or the constraint condition itself. By adaptively and intensively changing the parameters according to the images to be analyzed by the expert, 87% of the copy-move forged images can be effectively detected.
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