In image processing, convolution matrix, or mask is a small matrix. It is used for blurring, sharpening, embossing, edge detection, and more.
Kernel:
| 0 | 0 | 0 |
| 0 | 1 | 0 |
| 0 | 0 | 0 |
Kernel:
| 0 | 1 | 0 |
| 1 | -4 | 1 |
| 0 | 1 | 0 |
Kernel:
| 0 | 0 | 0 | 0 | 0 |
| 0 | 0 | 5 | 0 | 0 |
| 0 | -1 | 5 | -1 | 0 |
| 0 | 0 | 1 | 0 | 0 |
| 0 | 0 | 0 | 0 | 0 |
Normalization rate = 16
Kernel:
| 1 | 2 | 1 |
| 2 | 4 | 2 |
| 1 | 2 | 1 |
Normalization rate = 256
Kernel:
| 1 | 4 | 6 | 4 | 1 |
| 4 | 16 | 24 | 16 | 4 |
| 6 | 24 | 36 | 24 | 6 |
| 4 | 16 | 24 | 16 | 4 |
| 1 | 4 | 6 | 4 | 1 |
Normalization rate = 9
Kernel:
| 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
| 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
| 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 |
| 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
| 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
Kernel:
| -2 | -1 | 0 |
| -1 | 1 | 1 |
| 0 | 1 | 2 |
For more information visit this







