Title :
A new image transform for a more crop-resilient NPT
Author :
Ahmed, Ayman M T ; Day, Dwight D.
Author_Institution :
Dept. of Data Reception & Anal., Nat. Authority of Remote Sensing & Space Sci., Cairo, Egypt
Abstract :
In this paper, a new two-dimensional transform (crop-resilient image transform) is introduced. The transform is based on the Hartley transform, where the kernel matrix is modified to meet the requirements of the crop-resilient transform. This transform can be utilized in many applications; however, in this paper the main focus is on the data hiding and cropping applications only. Experimental results in this paper emphasize: the capability of the crop-resilient transform to invisibly hide a digital signature into a host data, and the robustness of the hidden data against the cropping attack.
Keywords :
Hartley transforms; data encapsulation; digital signatures; image coding; watermarking; 2D transform; Hartley transform; NPT; crop resilient image transform; cropping attack; data cropping; data hiding; digital signature; kernel matrix; naturalness preserving transform; Content addressable storage; Data encapsulation; Digital signatures; Discrete Fourier transforms; Discrete transforms; Fourier transforms; Frequency; Kernel; Remote sensing; Testing;
Conference_Titel :
Electro/Information Technology, 2009. eit '09. IEEE International Conference on
Conference_Location :
Windsor, ON
Print_ISBN :
978-1-4244-3354-4
Electronic_ISBN :
978-1-4244-3355-1
DOI :
10.1109/EIT.2009.5189646
