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- W1566543934 abstract "A rapid method is developed for two-dimensional smoothing and edge- sharpening by the least-squares fitting of a function to a limited area of the data. This convolution or matrix weighting is applied at each point of the data set to yield a smoothed or a sharpened image. Weighting matrices for 3 x 3, 5 x 5, and 7 x 7 point fitting areas are provided for polynomial function fits of all degrees up to the highest degree determinable. For the 7 x 7 point fitting area weights for fitting functions of up to the quartic in both dimensions are supplied. Application of the 5 x 5 point quadratic fit smoothing to a nuclear medicine image is shown as an example. (auth)" @default.
- W1566543934 created "2016-06-24" @default.
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- W1566543934 date "1976-01-01" @default.
- W1566543934 modified "2023-09-25" @default.
- W1566543934 title "One- and two-dimensional least-squares smoothing and edge-sharpening method for image processing" @default.
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- W1566543934 doi "https://doi.org/10.2172/4102888" @default.
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