The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
An Image Region Description Method Based on Step Sector Statistics and its Application in Image Copy-Rotate/Flip-Move Forgery Detection
Abstract
A robust method for local image region feature description based on step sector statistics is proposed in this paper. The means and the standard deviations along the radial direction of the circle image region are extracted through the sector masks, and the rearrangement of these statistics makes this image region description method rotation-robust. The proposed description method is applied in the detection of copy-rotate-move forgery, and it can detect the exact rotation angle between the duplicate regions. With minor extension, the proposed description method can also be applied in the detection of copy-flip-move forgery. The experimental results show that the proposed description method can work well for the detection of copy-rotate/flip-move forgery.
Related Content
|
Vivek Bhardwaj, Bilal Ahmed, Mirza Shuja, Deepak Thakur, Tanya Gera, Mukesh Kumar.
© 2026.
26 pages.
|
|
Vivek Bhardwaj, Tanima Thakur, Mrinalini Rana, Jeyaganesh Viswanathan.
© 2026.
24 pages.
|
|
Abhishek Sharma, Abhishek Mishra, Shweta Jain, Khushboo Karodiya, Priyanka Sharma.
© 2026.
10 pages.
|
|
Akash Mishra, Nandini Bansod, Dinesh Baban Kamble.
© 2026.
18 pages.
|
|
Anjali Rawat, George Kurian, Romil Rawat, Janet Olivia Richmond, Anand Rajavat, Purvee Bhardwaj.
© 2026.
28 pages.
|
|
Antonio Gonzalez-Torres.
© 2026.
26 pages.
|
|
Anjali Rawat, A. Samson Arun Raj, Janet Olivia Richmond, Anand Rajavat, Antonio González-Torres, Purvee Bhardwaj.
© 2026.
22 pages.
|
|
|