Copy-Move Forgery Detection Using ASIFT

被引:0
|
作者
Karsh, Ram Kumar [1 ]
Das, Anurag [1 ]
Swetha, G. Lavanya [1 ]
Medhi, Abhishek [1 ]
Laskar, Rabul Hussain [1 ]
Arya, Utkarsh [2 ]
Agarwal, Rohit Kumar [3 ]
机构
[1] NIT Silchar, Dept ECE, Silchar, Assam, India
[2] NIT Uttarakhand, Dept ECE, Srinagar, Uttarakhand, India
[3] JGEC Jalpaiguri, Dept ECE, Jalpaiguri, W Bengal, India
来源
2016 1ST INDIA INTERNATIONAL CONFERENCE ON INFORMATION PROCESSING (IICIP) | 2016年
关键词
Image splicing; Gaussian blur; standard deviation; image authentication;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Detecting forgeries in images especially those involved in Copy-Move forgery could become a challenging prospect in the acreage of image forensics. The significance of detecting such forgeries comes to light, given the rise of such malpractices. Now we will see a approach using ASIFT which is planned to expose regions which have been copied and then pasted in another region to either duplicate information or hide critical details. Special importance has been given to forgeries involving affine transformations as they are rather onerous to detect. Copy-Move forgery apprehension using this approach gives better results as compared to detection using SIFT. Extensive testing on images with significant affine transformations justifies this.
引用
收藏
页数:5
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