Core Image is a powerful framework offering image processing and analysis for both iOS and OS X. It offers Swift developers a simple API to a wide range of image based effects.
Core Image for Swift is a comprehensive guide to Core Image for iOS Swift developers. It covers all areas of working with Core Image for processing still images
The chapters are
Introducing Core Image
Core Image Filters in Detail A detailed look at Core Image filters with descriptions of their categories and examples of filter use.
Displaying Filtered Images Looks at different approaches for displaying Core Image output and covers UIImageView, using OpenGL with GLKView and using Metal with MTKView.
Convolution Filters Looks in detail at convolution filters and their effects.
Custom Composite Filters Looks at creating new filters with composites of existing built-in filters
Custom Filters with Core Image Kernel Looks at writing filters from scratch with Core Image Kernel Language
Color Kernels A detailed look at CIColorKernel
Warp Kernels A detailed look at CIWarpKernel
General Kernels A detailed look at CIKernel
Advanced Kernels Discusses advanced kernels for creating fluid dynamic and reaction diffusion systems
Custom Filters with Metal Discusses wrapping Metal compute shaders in a Core Image filter to create effects impossible with CIKernels
ModelIO Based Generators Discusses using ModelIO’s texture generation tools to create unique imagery such as procedural skies and smooth, color noise for use with Core Image
Working with vImage Discusses using Accelerate / vImage in conjunction with Core Image to implement histogram and morphology operations which aren't included as part of Core Image.
All chapters are accompanied by fully documented open source Swift projects.
What's New in Version 1.3.1
Renamed ModelIO to Model I/O in text Minor typo fixes Removed references to “next book”. Added new Chapter 13 discussing vImage Fixed some formatting issues
Table of Contents
Chapter 1. Introducing Core Image
Chapter 2. Core Image Filters in Detail
Chapter 3. Displaying Filtered Image
Chapter 4. Convolution Filters
Chapter 5. Custom Composite Filters
Chapter 6. Custom Filters with Core Image Kernel
Chapter 7. Color Kernels
Chapter 8. Warp Kernels
Chapter 9. General Kernels
Chapter 10. Advanced Kernels
Chapter 11. Custom Filters with Metal
Chapter 12. ModelIO Based Generators
Chapter 13. Working with vImage