Ardo Illaste edited res_pre.md  about 10 years ago

Commit id: 327e159b6774a9f73878e0b75cdee959c9175902

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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 ^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 \(n=1\).