Computer Science ›› 2018, Vol. 45 ›› Issue (6): 135-140.doi: 10.11896/j.issn.1002-137X.2018.06.023

• Information Security • Previous Articles     Next Articles

Blind Watermarking Algorithm for Digital Image Based on Fibonacci Scrambling in Wavelet Domain

WANG Qian1, YU Lai-hang1,4, CAO Yan2, ZHANG Lei3, QIN Jie1, YE Hai-qin1   

  1. College of Computer Science and Technology,Zhoukou Normal University,Zhoukou,Henan 466001,China1;
    College of Computer Science and Technology,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China2;
    School of Computer and Information Engineering,Henan University,Kaifeng,Henan 475004,China3;
    College of Computer Science and Technology,Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology,Dalian,Liaoning 116024,China4
  • Received:2017-03-01 Online:2018-06-15 Published:2018-07-24

Abstract: For the copyright protection problem of digital image,a blind digital watermarking scheme based on Fibonacci scrambling in wavelet domain was proposed.The region of interest (ROI) of original image is used as the watermarking source to improve the concealment of twatermark.In the watermark embedding process,the original image is divided into blocks,Fibonacci scrambling and discrete wavelet transform (DWT) are performed for each block,and low frequency sub-band is selected for watermark embedding.At the same time,DWT is also executed for the watermark,the low frequency sub-band is selected,and the scrambled matrix is obtained by Fibonacci scrambling,which will be embedded into the block on the main image.In the watermark extraction process,according to the secret key set in the embedding process,the inverse Fibonacci scrambling and inverse DWT process are used to extract the watermark.The simulation results show that the watermarking scheme has high security,robustness and concealment.

Key words: Digital image, Blind watermarking, Fibonacci scrambling, Discrete wavelet transform, Watermark embedding, Watermark extraction

CLC Number: 

  • TP391
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