About This Book

Digital Image Processing provides a comprehensive introduction to the principles, methods, and applications of image processing in the digital domain. The subject combines concepts from mathematics, computer science, engineering, and artificial intelligence to develop techniques for improving image quality, extracting meaningful information, and supporting automated decision-making systems. It plays a crucial role in diverse fields such as healthcare, remote sensing, defense, robotics, industrial automation, multimedia, forensic science, and scientific research.

This book aims to present the theoretical foundations and practical aspects of digital image processing in a clear and systematic manner. It covers essential topics including image acquisition, image representation, sampling and quantization, image enhancement, filtering, restoration, segmentation, feature extraction, image compression, pattern recognition, and image analysis. The text also introduces advanced concepts such as computer vision, machine learning-based image processing, deep learning techniques, and real-time image applications.
Mr.A.Yasar Arafath
Dr. Dinokumar Kongkham
Ms.L.Manimegalai
Ms.S.Kalaivani