SWT-SIFT based copy-move forgery detection of digital images

被引:0
|
作者
Singh, Ranveer [1 ]
Chaturvedi, Ravi Prakash [1 ]
机构
[1] United Coll Engn & Res, Comp Sci & Engn, Greater Noida, India
来源
2017 INTERNATIONAL CONFERENCE ON INNOVATIONS IN CONTROL, COMMUNICATION AND INFORMATION SYSTEMS (ICICCI-2017) | 2017年
关键词
Image forensics; copy-move forgery; SIFT; SURF; SWT-SIFT; passive technique; key points based detection;
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
By integrating Stationary wavelet transform (SWT) with conventional Scale Invariant Feature Transformation (SIFT) we are trying to increase the number of key points detected and matched in a digital image while the image is checked for being forged. With increased Key points we get a preferable match for the forged area in the digital image. We Collate the results of SWT based Approach with SIFT and SURF to peruse the key point based forgery Detection. When we affiliate Stationary Wavelet Transform (SWT) With SIFT the algorithm is adept to subdue the lack of translation invariance in discrete Wavelet transform (DWT).
引用
收藏
页码:290 / 293
页数:4
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