By Marvin V. Zelkowitz
This can be quantity seventy seven of Advances in pcs. considering the fact that 1960, annual volumes are produced containing chapters through a few of the best specialists within the box of desktops this present day. for fifty years those volumes supply principles and advancements which are altering our society. This quantity offers 8 various issues protecting many alternative features of computing device technology. quite a lot of matters are lined from insights into the several methods members can have interaction with digital units to how universal legislation is adapting to and impacting on the net.
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This ebook bargains scholars a task-based advent to Computer-Mediated conversation and the effect of the net on social interplay. Divided into 4 elements which require scholars to benefit, (theory), critique, (current issues), discover, (methods), and replicate, (practice), the publication goals to: · supply a origin to the social and communicative nature of data and conversation applied sciences· allow scholars to interact with the most important theoretical concerns linked to CMC· Equip scholars with the required learn and technical talents as a stimulus to autonomous enquiry.
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Extra info for Advances in Computers, Vol. 77
A. Craver, M. Wu, B. Liu, A. Stubblefield, B. S. Wallach, Reading between the lines: Lessons from the SDMI challenge, in: Proc. 10th USENIX Security Symposium, Washington, DC, 2001. K. Johnson, H. Farid, Exposing digital forgeries by detecting inconsistencies in lighting, in: ACM Multimedia and Security Workshop, New York, NY, 2005. K. Johnson, H. Farid, Exposing digital forgeries through specular highlights on the eye, in: Proc. 9th International Workshop on Information Hiding, Saint Malo, France, 2007.
A. Sander, III, Demosaicking methods for Bayer color arrays, J. Electron. Imaging 11 (3) (2002) 306–315. K. Gunturk, Y. M. Mersereau, Color plane interpolation using alternating projections, IEEE Trans. Image Process. 11 (9) (2002) 997–1013.  K. W. Parks, Adaptive homogeneity-directed demosaicing algorithm, in: Proc. IEEE International Conference on Image Processing, vol. 3, September 2003, pp. 669–672. D. W. Parks, Adaptively quadratic (AQua) image interpolation, IEEE Trans. Image Process.
If, on the other hand, we consider the cumulative effect of quantization on the underlying pixel values, then this issue is far less likely to arise (unless all 192 quantization values at different JPEG qualities are integer multiples of one another—an unlikely scenario). Therefore, 44 H. FARID A 4 Difference (ϫ 104) 3 2 1 0 0 10 20 Quantization 30 0 10 20 Quantization 30 B 4 Difference (ϫ 104) 3 2 1 0 FIG. 17. Shown in panel (A) is the sum of squared differences between coefficients quantized by an amount q1 ¼ 17, followed by a second quantization in the range q2 2 ½1; 30 (horizontal axis)—this difference reaches a minimum at q2 ¼ q1 ¼ 17.