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Fidelity and Robust Digital Watermarking Adaptively Pixel based on Medial Pyramid of Embedding Error Gray Scale Images


Mehemed Bashir Aliwa, Tarek El-Ahmady El-Tobely, Mahmood M. Fahmy, Mohamed EL Said Nasr, Mohamed Hashem Abd El-Aziz


Vol. 10  No. 6  pp. 284-314


Digital image watermarking is one such technology that has been developed to protect digital images from illegal manipulations and prevent malicious and non-malicious attacks to detect hidden information. In particular, digital watermarking techniques in frequency domain are proliferation of digitized media due to the rapid growth of watermarking system and have been widely recognized to be more prevalent than others, but in recent years the techniques in spatial domain technologies they are becoming generally abandoned. One of the problems in digital watermarking is that the three requirements of imperceptibility, capacity, and robustness that are must be satisfied but they almost conflict with each other, accordingly there are trade-off between fidelity and robustness. In this paper, we proposed a novel fidelity and robust watermark embedding method that satisfies the requirements of imperceptibility, capacity, and robustness, called adaptively pixel adjustment process based on medial pyramid of embedding error applying in the falling-off-boundary in corners board of the cover image set-of-the Most-Significant-Bit-6 blind in spatial domain (APAP-MPOEE-FOBCBMSB6). In addition, the paper provides a comprehensive overview and analysis of previous methods. Theoretically analysis of the proposed technique proves the effectiveness of the technique in the average of worst case and minimizing the number of embedding error to the half. Experimental results of the proposed technique was applied on the different benchmark of six gray scale images and two quantum of watermark bit embedded are compared with previous works and was found better. Moreover in all different benchmark of test-images the watermarks were extracted from watermark degrading, removal and geometric transformations attacks to an acceptable degree of similarity function and normalized cross correlation.


Fidelity, digital watermarking, imperceptible, spatial domain, LSB, MSB, benchmark