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- Visualizing a kernel
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Classroom Contents
Convolutions in Image Processing - MIT 18.S191 Fall 2020 - Week 1
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- 1 - Introduction
- 2 - Box blur as an average
- 3 - Dealing with the edges
- 4 - Gaussian blur
- 5 - Visualizing gaussian blur
- 6 - Convolution
- 7 - Kernels and the gaussian kernel
- 8 - Looking at the convolution in Julia
- 9 - Julia: `ImageFiltering` package and Kernels
- 10 - Julia: `OffsetArray` with different indices
- 11 - Visualizing a kernel
- 12 - Computational complexity
- 13 - Julia: `prod` function for a product
- 14 - Example of a non-blurring kernel
- 15 - Sharpening edges in an image
- 16 - Edge detection with Sobel filters
- 17 - Relation to polynomial multiplication
- 18 - Convolution in polynomial multiplication
- 19 - Relation to Fourier transforms
- 20 - Fourier transform of an image
- 21 - Convolution via Fourier transform is faster
- 22 - Final thoughts
