Core Image, Chapter 1. The Oracle Method for Images
A blur as an answer key, and the extra room that a filter asks for.
Core Image
Core Image, Chapter 2. Images as Recipes
You will be able to say what a Core Image picture really is: not a grid of pixels, but a recipe that says how to make them.
Core Image, Chapter 3. Contexts, Pixels and Color
You will be able to say what a context is, and what a render of a rectangle writes: floats, half floats or bytes, row by row.
Core Image, Chapter 4. Region of Interest
You will be able to explain the region of interest to a child, say what that rectangle is for a color operation and for a blur, and trace it by hand through a small graph.
Core Image, Chapter 5. Color Kernels
You will be able to explain a color kernel to a child: a small machine that takes one pixel in and gives one pixel out, with no memory of its neighbors.
Core Image, Chapter 6. Tone Curves, Color Spaces and Lookup Tables
You will be able to say what a transfer function is, in words a child could follow, and compute the sRGB pair by hand in both directions.
Core Image, Chapter 7. Compositing
You will be able to say what compositing is: two images in, one image out, with a rule that works on four premultiplied numbers per pixel.
Core Image, Chapter 8. Blur and Convolution
You will be able to explain a neighborhood filter to a child: every output pixel is a weighted sum of a small window of input pixels.
Core Image, Chapter 9. Geometry and Resampling
You will be able to explain resampling to a child: every pixel of the new picture asks where in the old picture it comes from, and the answer is a position that usually falls between pixels.
Core Image, Chapter 10. Generators and Gradients
You will be able to explain a generator to a child: a machine with dials and no slot for a picture, which is really a rule that gives a color for every place.
Core Image, Chapter 11. Reductions and Histograms
You will be able to explain a reduction to a child: many pixels go in, a few come out, and the few have a fixed place and a fixed meaning.
Core Image, Chapter 12. Distortions and Transitions
You will be able to explain a warp to a child: for each pixel of the output, a rule says which point of the input to read, and a reader mixes the four nearest input pixels.
Core Image, Chapter 13. Putting It Together
One graph through every stage, a playbook of symptoms, and the honest edge of what this book measured.
