digital-signal-processing
2D convolution
taught
The identical flip-slide-multiply-sum recipe as 1D convolution, run across two axes at once -- the kernel's own 180-degree flip is the detail most easily lost going from 1D to 2D.
Taught in
-
2D convolution
Digital Signal Processing
Requires
- image-as-2d-array required
Required by
- 2D correlation 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.