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The central orientation information enhances the robustness of image hashing technique.
The proposed system has been created as arbitrary rotation invariant by using the central orientation information.
The central orientation information is also transmitted along with the image hash.
While testing for authentic or forged/different image, and also to localize the forged region, the receiver calculates the central orientation information (θ c ') from the received image.
But, due to the use of the central orientation information, the proposed system is rotation invariant for arbitrary angles along with sensitiveness to corner changes.
Incorporating the central orientation information may make the system completely rotation invariant which is considered to be the limitation of many state-of-the-art methods.
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If the transmitted image has been rotated by an angle α and received at the receiver end, then the received image central orientation also rotate with the same angle, i.e., θ c ' = θ C + α [21].
The content location may be readjusted into the original one by using the knowledge of central orientation information, i.e., θ C, which makes the proposed image hashing method rotation invariants.
Let us consider that the transmitted image has central orientation θ c.
Open image in new window Fig. 16 Maximum deformation of the containment along the central circumferential orientation at impact locations against: a F4, b Boeing 707-320, c A320.
The parameter is called the 'modified crystal deformation' and is determined from the spread in misorientation from the central grain orientation.
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