Image Fingerprinting Based on Improved Image Normalization and DFT

Abstract:

As a new image copyright protection technique, a novel image fingerprinting algorithm based on improved image normalization and DFT is proposed in this paper. We first research the DFT amplitude coefficients deeply and improve the traditional image normalization method to fit for more general images, including aspect ratio and rotated angle estimation and correction schemes before normalizing the image. Then combine the improved image normalization method and DFT together to extract the image fingerprint according to the DFT amplitude coefficients. Compared with others’ achievements, our method performs better in resisting common image processing attacks and geometric distortions, also some kinds of combined distortions.

• Periodical: Applied Mechanics and Materials (Volumes 556-562)
• Pages: 4759-4764
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.556-562.4759
• Online since: May 2014
• Authors: Hu Guan*, Zhi Zeng, Jie Liu, Shu Wu Zhang
• Keywords: Image Fingerprinting, Image Hashing, Image Normalization, Zero Watermarking

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