Information-Theoretic

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Information-Theoretic ImagingApproachJ. A. O’Sullivan. CMU Seminar, 03/13/2002• Select 240 combinations of implementation parameters• Execute algorithms at each parameterization• Scatter plot the performance-complexity pairs• Determine the best achievable performance at any complexityBMP2 Variance Image at 6 SizesZIL131 Variance Image at 6 SizesSix different image sizes from 128x128 to 48x4850
Information-Theoretic ImagingJ. A. O’Sullivan. CMU Seminar, 03/13/2002System Parameters and ComplexityApproximate (,a) ) and 2 (,a)) as piecewise constant in Implementations parameterized by:w - number of constant intervals in d - width of training intervals in N 2 - number of pixels in an imageDatabase complexity log 10 (# floating point values / target type)51
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Information-Theoretic

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