Getting Started with Digital Image Processing

Digital image processing is defined as the application of computational algorithms for the acquisition, representation, transformation, analysis, and interpretation of images in discrete digital form. A digital image is modeled as a finite-dimensional numerical array, and processing operations are formulated as mappings on such arrays for tasks such as enhancement, restoration, feature extraction, and interpretation. Thus, it forms the computational basis for extracting meaningful information from visual data.

Digital image processing has wide applications in television systems, photography, robotics, remote sensing, medical imaging, and industrial inspection. Modern large-scale platforms, including social media systems such as Facebook and Instagram, also employ image processing techniques for compression, enhancement, filtering, and automated content analysis.

This book employs Python libraries for both classical and deep learning...