image-processing
2D discrete convolution and correlation
taught
The neighborhood-weighted-sum operation, defined precisely for a 2D image and a 2D kernel.
Taught in
-
Convolution and kernels, recalled
Computer Vision
-
2D discrete convolution and correlation, defined
Digital Image Processing
Requires
Required by
- Kernel flipping -- convolution vs. correlation required
- Linear vs. nonlinear filtering, a first look required
- Padding strategies required
- Separable filters required
- The discrete Laplacian required
Local knowledge map
Local knowledge map
Click to expand
Solid arrows are required prerequisites; dashed are recommended or helpful. Lower rows are more foundational. Click any box to jump to that concept.