Over 50 problems solved with classical algorithms + ML / DL models

KEY FEATURES

● Problem-driven approach to practice image processing.

● Practical usage of popular Python libraries: Numpy, Scipy, scikit-image, PIL and SimpleITK.

● End-to-end demonstration of popular facial image processing challenges using MTCNN and Microsoft's Cognitive Vision APIs.

DESCRIPTION

This book starts with basic Image Processing and manipulation problems and demonstrates how to solve them with popular Python libraries and modules. It then concentrates on problems based on Geometric image transformations and problems to be solved with Image hashing.

Next, the book focuses on solving problems based on Sampling, Convolution, Discrete Fourier transform, Frequency domain filtering and image restoration with deconvolution. It also aims at solving Image enhancement problems...