Convolution: From Calculus to Image Processing, by Katharine Ott

Date, time, location

Thursday, April 28, 2022
4:30 pm

King Building, 341

10 N. Professor St.
Oberlin, OH 44074

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“Convolution: From Calculus to Image Processing”, by Katharine Ott, Associate Professor of Mathematics, Bates College.

Convolution is a mathematical operation defined on two functions, f and g, that produces a third function. This new function, denoted * g, is somehow a “blend” of f and g. In the continuous case the blending is achieved via integration, whereas discrete convolution is defined via summation.

This talk will introduce the convolution operation in both the continuous and discrete settings, and for functions of one and two variables. We will then explore applications of convolution to digital image processing, with an emphasis on image filtering in the spatial domain.

Sponsored by the Mathematics Department Wong Fund.

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Terri Pleska, Admin Asst

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