보간을 근거로 한 디지털 이미지의 위, 변조 분석 연구

초록

Photography has been approval its value as documentary of truth since its birth. people usually put faith in photography as a fact when they receive it. It means that photography concerned on a certain circumstance archives as a clear record of truth. The faith of photography has been threatened since the digital imaging era began. Easily manageable imaging softwares enable to retouch and compose photographs which are not taken simultaneously, therefore images can be reproducible. This can be worthy in art area as a creative work, on the other hand photography as a true record recognizes that can be confusing. As more people strongly believe in photography as a truth, more people try to distort the truth. Specially, the machinery of law and state organization confront that digital imaging system adjusts practical affairs at once. For this reason, some area admit analog photographs as the original, and the others do not accept digital images. This temporary expedient ignores realities completely which digital images can be an analog film through a certain process. Therefore, we need a standard to do right according to its purposes, but in reality, We do not have an objective standard to judge forgery photographs. This study arranges the objective analysis method. As results, when digital imaging goes to forgery and composition, the main problem is the control of size, and we focus on the interpolation to adjust imaging size. To solve this problem, it compare and analyze changed digital imaging informations by the 1st and 2nd interpolations in Adobe Photoshop. based on this, we suggest the algorism to recognize the 2nd interpolation. Synthetically, to distinguish digital image forgery and composition, the interpolation, not absolutely, is the important factor and the proposed algorism is useful to distinguish digital imaging composition.