Image processing refers to the automatic processing, manipulation, analysis, and interpretation of images using algorithms and codes on a computer. It has applications in many disciplines and fields in science and technology such as television, photography, robotics, remote sensing, medical diagnosis, and industrial inspection. Social networking sites such as Facebook and Instagram, which we have got used to in our daily lives and where we upload tons of images every day, are typical examples of the industries that need to use/innovate many image processing algorithms to process the images we upload.

In this book, we are going to use a few Python packages to process an image. First, we shall use a bunch of libraries to do classical image processing: right from extracting image data, transforming the data with some algorithms using library functions to pre-process, enhance, restore, represent (with descriptors), segment, classify, and detect and recognize (objects) to analyze, understand, and interpret the data better. Next, we shall use another bunch of libraries to do image processing based on deep learning, a technology that has became very popular in the last few years.