With advancements in wireless devices and mobile technology, there's an increasing demand for digital image processing skills to extract useful information from the ever-growing volume of images. This book provides comprehensive coverage of tools and algorithms, along with guiding you through analysis and visualization for image processing.
With the help of over 60 cutting-edge recipes, you'll address common challenges in image processing and learn how to perform complex tasks such as image detection, image segmentation, and image reconstruction using large hybrid datasets. Dedicated sections will also take you through implementing various image enhancement and image restoration techniques such as cartooning, gradient blending, and sparse dictionary learning. As you advance, you'll get to grips with face morphing and image segmentation techniques. With an emphasis on practical solutions, this book will help you apply deep learning-based techniques such as transfer learning and fine-tuning to solve real-world problems.
By the end of this Python book, you'll be proficient in applying image processing techniques effectively to leverage the capabilities of the Python ecosystem.
