인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 저자정보
피인용 0
초록·키워드
In recent years, as the Internet technology develops, image processing software has gradually become popular, which provides convenience for plagiarism and tampering of images, and also brings difficulties to the protection of intellectual property rights. Therefore, how to quickly and accurately detect plagiarized and tampered images has become a top priority. In order to achieve accurate detection and location of plagiarized images, this paper puts forwards an image plagiarism detection model with KAZE and polar harmonic transform. Experimental results show that in the CoMoFoD database, the KAZE-polar harmonic transform algorithm can accurately identify images modified by copy-paste, brightness tampering, and blur processing. Compared with fuzzy C-means clustering- Emperor Penguin optimization-block feature matching algorithm and sparse recovery-key point matching algorithm, the average accuracy of KAZE-polar harmonic transform algorithm is 98.1%, which is higher than other algorithms, and each image The image recognition time only takes 10.86 s, which is faster than other algorithms. In the Coverage database, the KAZE-polar harmonic transformation algorithm can accurately identify and locate images with background tampering, and can effectively resist the interference of real similar objects; in addition, its average accuracy and image recognition speed are 90.3% and 11.5 s / Zhang, outperforms other algorithms. The above results show that the KAZE-polar harmonic transform algorithm proposed in the study can quickly and accurately identify and locate tampered pictures and tampered parts.
본문·목차
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