By Jessica Fridrich (auth.), Yun Qing Shi, Hyoung-Joong Kim, Fernando Perez-Gonzalez (eds.)
This e-book constitutes the completely refereed post-conference complaints of the tenth overseas Workshop on Digital-forensics and Watermarking (IWDW 2011) held in Atlantic urban, NJ, united states, in the course of October 23-26, 2011. The 37 revised complete papers provided have been conscientiously chosen from fifty nine submissions. convention papers are geared up in 6 technical periods, overlaying the subjects of steganography and steganalysis, watermarking, visible cryptography, forensics, anti-forensics, fingerprinting, privateness and security.
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Extra resources for Digital Forensics and Watermarking: 10th International Workshop, IWDW 2011, Atlantic City, NY, October 23-26, 2011, Revised Selected Papers
And Tai et al.  designed a synchronization mechanism by selecting ﬁxed pairs of peak and zero points, which were not guaranteed to be the optimal ones. Therefore, the performance of the scheme was somewhat scariﬁed. In this paper, we propose a two-step embedding (TSE) technique to improve the HS based schemes, which not only meets the blind requirement but also guarantees the ﬂexible selection of optimal pairs of peak and zero points for high performance reversible data hiding. Moreover, TSE is also utilized for location map reduction to further increase the embedding capacity.
The number inside the block means the order of impact. ‘1’ blocks are impact by ‘W’ blocks and spread distortion to ‘2’ blocks. For the right of Fig. 3, ‘C’ blocks are the blocks being compensated so that no further impact happens on the adjacent blocks. Fig. 3. Distortion drift and drift compensation For more general circumstance, drift compensation are performed as follow: Step 1: Store information (MB number and amount of modification) of previous MB if it has MVD changed because of watermark embedding; Step 2: If the reference block of current MB has been watermarked according to the information recorded in Step 1, then: i.
For HS based reversible data hiding, 1 bit secret message is embedded when a peak point is encountered. Therefore the capacity is computed by capacity = h(P) (2) where h(•) denotes the frequency of bin P in the histogram. It is noted that since only the pixels with values between P and Z would generate distortion by one during embedding, the distortion caused by the embedding process is evaluate by ⎛ ⎞ 1 ⎝ h(i) × (Δi)2 + (Δj)2 ⎠ M SE = size i∈U(P,Z) , (Δi = 1, Δj = 1) ⎛ 1 ⎝ h(i) + = size i∈U(P,Z) (j=P ),(b= 1 ) ⎞ (3) (1)2 ⎠ (j=P ),(b= 1 ) where MSE is the Mean Square Error between the stego and cover image, size and b denote the size of cover image and secret bit, respectively.