DOIONLINE 
DOIONLINE Publish In |
International Journal of Advance Computational Engineering and Networking (IJACEN)-IJACEN |
 Journal Home Volume Issue |
||||||||
Issue |
Volume-7, Issue-4 ( Apr, 2019 ) | |||||||||
Paper Title |
Digital Image Forgery Types and Analysis of Hybrid Forgery Detection Methods | |||||||||
Author Name |
C. Rajalakshmi, M.Germanus Alex, R.Balasubramanian | |||||||||
Affilition |
Research Scholar, Roll No: 12332, Dept. of Computer Science, Manonmaniam Sundaranar University, Abishekapatti, Tirunelveli 627012, Tamil Nadu, India Prof & Head, Dept. of Computer Science, Government Arts College, Nagercoil, India Prof &Head, Dept. of Computer Science & Engg., Manonmaniam Sundaranar University, Abishekapatti, Tirunelveli 627012, India | |||||||||
Pages |
14-18 | |||||||||
Abstract |
We are undoubtedly living in the age where we are exposed to a remarkable array of visual imagery. Over the past few years, the field of digital forensics has emerged to help restore some trust to digital images. The major focus of a digital image forgery or manipulation is to contrive the illegitimate changes in and the major focus of a digital image forgery or manipulation is to contrive the illegitimate changes in an authentic image so that the image closely mimics the legitimacy of an authentic one. Thus, it becomes harder for the human visual system to differentiate between legitimate and forged/manipulated images. A mere detection of forgery is not the only objective here. Comprehensive ongoing research aims at delivering solutions to the problem of differentiating a forged image with that of an authentic image. This paper has presented the different types of digital image forgeries and hybrid detection techniques. | |||||||||
| View Paper | ||||||||||
