This second edition of Digital Image Processing is designed as a textbook for undergraduate engineering students of Computer Science, Information Technology, Electronics and Communication and Electrical Engineering. The book provides a comprehensive coverage of the fundamental and advanced concepts of digital image processing. Spread over 14 chapters, the book begins with an overview of image fundamentals followed by a discussion on digital imaging systems and digital image processing operations. It then discusses core topics of interest such as image transforms, image enhancement, image restoration, image compression, image segmentation, color image processing and the basics of image classification and image clustering. It also provides an overview of popular and emerging research domains such as the role of soft computing in image processing, image registration and fusion, image security, digital watermarking and steganography, visual effects, image compositing, image encryption, computer vision, medical image processing, image data mining, image understanding and content-based retrieval systems. The book strikes a perfect balance between theoretical and mathematical exposition, with several numerical examples, review questions and MATLAB programs.