A Comparison of Image Quality Models and Metrics Predicting Object Detection*
نویسنده
چکیده
d three such methods for their ability to predict the etectability of objects in natural backgrounds: a i Cortex transform model with within-channel mask ng, a Contrast Sensitivity filter model, and digital m image difference metrics. Each method was imple ented with three different summation rules: the n w root mean square difference, Minkowski summatio ith a power of 4, and maximum difference. The f Cortex model with a summation exponent of 4 per ormed best.
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