March 28, 2017

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By U.A.Bakshi, A.P.Godse

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Example text

The entire process is repeated for varand for luminance and chromiious values of nance components separately. The PCD and PWD against for AIDB, , and IAIDB are plotted in Fig. 11(a)–(c), respectively. As expected, at lower values of , there are more wrongly detected erroneous MBs than correctly detected erroneous MBs . As the threshold (or ) increases, the number of correctly detected erroneous MBs decreases, however the number of wrongly detected erroneous MBs decreases much faster than that of correctly detected erroneous MBs.

Cambanis, G. Samorodnitsky, and M. S. , Stable Processes and Related Topics. Boston, MA: Birkhauser, 1991. S. S. degree in image and signal processing from the University of Patras, Patras, Greece, in 2000. D. degree in electrical engineering at the University of Illinois at Urbana-Champaign, Urbana. From 2000 to 2001, she worked as a Research Assistant at the Informatics and Telematics Institute, Thessaloniki [Center of Research and Technology Hellas (CERTH)], Greece, participating in a European-funded research project.

12(a) and fewer experimental results for low values of (b) depicts the theoretically estimated ROC curves for quantized data as well as the corresponding experimental results. The theoretical curves are derived from (37) using (27) and (32) for and , respectively. The empirical ROC curves are computed using the experimental values of the likelihood ratio mean and variance found from the Monte Carlo runs. As it is obvious from Fig. 12( a) and (b), the experimental results follow the theoretical ROC curves quite closely.

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