Digital Image Forgery Detection: Techniques and Applications

In the digital era, images play a crucial role in communication, media, journalism, and scientific documentation. However, the rapid growth of advanced image editing tools has made it increasingly easy to manipulate digital images, raising serious concerns about their authenticity and reliability. Detecting such manipulations has therefore become an important challenge in the fields of digital image processing and multimedia security.This book presents fundamental concepts and advanced techniques for digital image forgery detection, focusing on common manipulations such as copy-move forgery and image splicing. It discusses efficient algorithms, improved detection methods, and practical implementation using simulation and software tools.Designed for students, researchers, and professionals in electronics, computer vision, and multimedia forensics, the book provides a structured approach to understanding and identifying forged digital images. Through clear explanations and experimental demonstrations, it serves as a valuable resource for those interested in digital image forensics and secure multimedia systems.