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http://inaoe.repositorioinstitucional.mx/jspui/handle/1009/1303| Digital forensics method for image tampering detection | |
| Daniel Arroyo | |
| RENE ARMANDO CUMPLIDO PARRA | |
| Acceso Abierto | |
| Atribución-NoComercial-SinDerivadas | |
| Digital forensics Tamperig detection Steganography | |
| Digital Forensics methods in images are growing up because of the increasing in the use of digital tools, like smartphones, digital cameras, social networks and the Internet in general. One of the most common attacks in digital images is the Copy-Move, which is the copy of a region of an image into the same image; many methods for Copy-Move Forgery Detection (CMFD) were developed in the recent years, and they are divided into two types of analysis: Block-based and Keypoint-based. In this work a new method which combines both types of CMFD analysis is explained, it uses an algorithm proposed in 2011 which is based in SIFT method, Zernike moments and an image segmentation by superpixels. Also, some experiments made with a steganalysis algorithm which prove that it can be used as an original-copied detector between the original region and the tampered region are presented. | |
| Instituto Nacional de Astrofísica, Óptica y Electrónica | |
| 2017 | |
| Tesis de maestría | |
| Inglés | |
| Estudiantes Investigadores Público en general | |
| Arroyo Mendoza, D., (2017). Digital forensics method for image tampering detection, Tesis de Maestría, Instituto Nacional de Astrofísica, Óptica y Electrónica | |
| LENGUAJES DE PROGRAMACIÓN | |
| Versión aceptada | |
| acceptedVersion - Versión aceptada | |
| Aparece en las colecciones: | Maestría en Ciencias Computacionales |
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|---|---|---|---|
| ArroyoMD.pdf | 28.29 MB | Adobe PDF | Visualizar/Abrir |