Chapter 1, Getting Started with Image Processing, covers image processing and its applications, different Python libraries, image input/output, data structures, file formats, and basic image manipulations.
Chapter 2, Sampling, Fourier Transform, and Convolution, covers 2D Fourier transform, sampling, quantization, discrete Fourier transform, 1D and 2D convolution and filtering in the frequency domain, and how to implement them with Python using examples. You will learn the simple signal processing tools that are needed in order to understand the following units.
Chapter 3, Convolution and Frequency Domain Filtering, demonstrates how convolution is carried out on images using Python. Topics such as filtering in the frequency ...
