Convolution

Output = Sum of Weighted Input Pixels in Neighborhood

Weights expressed as 2D array (m x n)
- Called kernel or filter
Output image is smaller than input image
- widthinput - m + 1, heightinput - n + 1
In this course, kernel is centered at lower left corner
- Weight at lower left corner applied to input pixel in same position as output pixel