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Step 5: Segment the marked image into small blocks same as the origin image. Step 6: For every blocks of the marked image, we take the Mojette transform at the given Ith angles. The (I+1)th projection is acquired . Figure 6 shows the process of embed watermark. Once the embedding scheme is finished, we can transmit the projections. Figure 7. How we extract watermark Figure 6. Eembedding watermark process F. Decoding algorithm When the receiver receives the (I+1) projections, the origin image and the marked image can be retrieved according to the projections and the given angles . The first I projections are used to obtain the origin image, and the marked image is generated by the first (I-1) projections and the last projection. The specific process can be described by the following steps: Step 1: For the first I projections, take the inverse Mojette transform to obtain the original image based on the size of the block,. Step 2: For the first (I-1) projections and the last projection, take their inverse Mojette transforms to generate the marked image. Step 3: Subtract the original image from the marked image to retrieve the watermark. Figure7 shows the process of extract watermark.By comparing the extracted watermark and the original watermark, we can find whether the projections have been changed. EXPERIMENTAL RESULTS We use a set of car images and watermarks in Figure 5 as the input, and thus we can get the marked images. The watermark is composed of a number of blocks as depicted in Figure 3. The angles used to take projections are (-2,1),(1,1),(1,0) and those used to gain the phantoms are (1,1),(1,0). Figures 8,9,10 show a set of experiment results. Figure 8. (a)the original image.(b) the watermark.(c)the marked image (d)the projections of the original image at angle (-2,1).(e) the projections of the original image at angle (1,1).(f) the projections of the original image at angle (1,0).(g) the projections of the marked image at angle (-2,1). (h) the retrieved origin image.(i) the retrieved marked image. (j) the extracted watermark. 126
Figure 9. (a)the original image.(b) the watermark.(c)the marked image (d)the projections of the original image at angle (-2,1).(e) the projections of the original image at angle (1,1).(f) the projections of the original image at angle (1,0).(g) the projections of the marked image at angle (-2,1). (h) the retrieved origin image.(i) the retrieved marked image. (j) the extracted watermark Figure 10. (a)the original image.(b) the watermark.(c)the marked image (d)the projections of the original image at angle (-2,1).(e) the projections of the original image at angle (1,1).(f) the projections of the original image at angle (1,0).(g) the projections of the marked image at angle (-2,1). (h) the retrieved origin image.(i) the retrieved marked image. (j) the extracted watermark CONCLUSION A new watermarking method based on the mojette transform that can hide special information in the original image is presented in this paper. Experimental results show it is effective once the meaningful watermark is successfully constructed. However, it should be noted that this method might have problems if complex information is required to be hidden as efficient construction of this kind of watermark can be difficult. watermark.. ACKNOWLEDGMENT The work was supported by a grant from National Nature Science Foundations of China (No. 60702014). REFERENCES [1] N. Normand, JP. Guédon, “La transformée Mojette : une représentation redondante pour l'image”, Comptes rendus Académie des sciences de Paris, theoretical computer science section, p. 124-127. January 1998. [2] F. Autrusseau, J. V. Guedon, and Y. Bizais. Mojette cryptomarking scheme for medical images. Volume 5032, pages 958–965. SPIE, 2003. [3] F Autrusseau, JV Guedon Image Watermarking for Copyright Protection and Data Hiding via the Mojette Transform Proceedings of SPIE, 2002 127
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Proceedings The Second Internationa
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Table of Contents Message from the
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Zuming Xiao, Zhan Guo, Bin Tan, and
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Message from the Symposium Chairs T
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Second International Symposium on N
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ISBN 978-952-5726-09-1 (Print) Proc
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model that can deal with time serie
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training for the Wushu competition
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information, called weak uncertain
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Student side Student side Student s
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If we define element of student as
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QoS, each frame data is divided int
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for Imaging Two and Three Phase Flo
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A. Profiling&following control algo
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Research and Realization about Conv
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PDF document structure is a tree st
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support 10 Mb / s. But ENC28J60 onl
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condition the first byte output of
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According to maximum membership deg
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ubber according to the mass ratio o
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Ⅲ. AN IMPROVED DNA ALGORITHM FOR
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Ⅴ.CONCLUSION REMARKS DNA computer
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its first child q 1 on the left, th
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chains can greatly improve efficien
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II. RELATED WORK A. Mobile Service
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special services. SOAP is used to b
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detection methods of DDoS attacks m
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Step4 calculate the new subordinate
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Figure 1. An analysis of the partit
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The preceding three formulas can be
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Page 89 and 90: distance of view point. Given that
Page 93 and 94: Ⅳ. EVALUATION OF BLENDED LEARNING
Page 97 and 98: symmetric with respect to the origi
Page 101 and 102: each sample belongs to each categor
Page 105 and 106: A. Data Preparing To generate our t
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Page 121 and 122: B. Evaluation We have evaluated thi
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Page 133 and 134: TABLE I. DESCRIPTION OF PROPOSITION
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esults of the spatial transform par
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B. Research on protocol actions Com
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ACKNOWLEDGMENT This work is funded
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A. Problem Description In a small b
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[4] Huang, Hung, and J. Y. jen Hsu.
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Further by calculating, the followi
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TABLE II. THE CONCENTRATION BETWEEN
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private key that obtained by using
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ontology, and the domain dictionary
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Eq.4 is NP-hard and can be solved b
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Where: G i is the selection field o
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If there is X j in a generation, wh
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Theorem 2.4([10]). Let L 1 and L 2
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The relation between the lattice im
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Figure 2. Example of single-step de
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evocation and the fourth group stor
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focused mainly on rule-based forms
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Ⅵ. CONCLUSION Figure 6. The Flask
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EDCF in comparison with DCF, has so
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B. Simulation results and analysis
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in routing table. When search resou
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others through the selective emotio
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such as weather information, techno
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the opening window, a related page
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1) Process context storage areas. I
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V. CONCLUSION In this thesis, sCPU-
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main types of horizontal search env
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Enterprise Portal security provides
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[2] Kumaravel, N., and Kavitha, V.,
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output, so BP network has been wide
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input to the artificial neural netw
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(2) In a process (tokens from outsi
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The reduction process consists of t
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all eight normal vectors are identi
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is B object , and the number of emp
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Error 8000 7000 6000 5000 4000 3000
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Architecture (AMBA) a new bus archi
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In order to ensure the smooth proce
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In this paper, we adopt two Sobel o
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four layers.The far right of the gr
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TABLE II. OPERATIONAL EMPLOYEE TABL
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A. Object-relational Type To audit
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to execution time. Also, DBA would
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Liping Chen .......................
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