Ardo Illaste edited res_pre.md  about 10 years ago

Commit id: 151ba17d9aa00f7f66ef9b9eaa5e27fc134d6198

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\left( \begin{array}{ccc}  1/16 & 1/16 & 1/16\\\\  1/16 & ^1/_2 & 1/16\\\\  1/16 & 1/16 & 1/16 \tfrac{1}{16}  \end{array} \right) \]  Convolving the image with this kind of kernel reduces the noise while retaining more of the original signal than simple averaging. Contributions from the i-th layer around the center will have the same weight as the central pixel. In this work we use the kernel with \(n=1\).