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6.4: Exercises

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    Exercises

    1. Below are shown multiple “Kernels” that can be used for convolution-based image filtering.

    clipboard_e5ed6f3e3a0b7d6f0d6eb301f25dedac4.png

    a) Identify the Kernel, which can blur an image.

    b) What kind of features can be detected by the other two kernels?

    2. How many for-loops are needed to implement a 2D convolution? Explain your reasoning.

    This page titled 6.4: Exercises is shared under a CC BY-NC 4.0 license and was authored, remixed, and/or curated by Nikolaus Correll via source content that was edited to the style and standards of the LibreTexts platform; a detailed edit history is available upon request.