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- W2358647404 abstract "Focusing evaluation function is important as to the room camera to achieve the focus of image and get high-quality im- age.We have a comprehensive performance comparison of several commonly used focusing evaluation functions,quantitative analysis of the efficiency of different algorithms including no bias,single peak and sensitivity according to the simplicity and real-time.The results showed that:Brenner functions and Laplace function is suitable for small-scale precision focusing for its relatively narrow peak width,high sensitivity.Tenengrad function,Robert function and squared gradient function is suitable for mid-range auto-focus, be- cause they have relatively high sensitivity,and also they have a certain focus range.It’s instructive to the room camera to achieve auto- matic focusing." @default.
- W2358647404 created "2016-06-24" @default.
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- W2358647404 date "2012-01-01" @default.
- W2358647404 modified "2023-09-26" @default.
- W2358647404 title "The research of focusing evaluation function based on the room camera" @default.
- W2358647404 hasPublicationYear "2012" @default.
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