JPEG-Based Image Tampering Detection Code

This document presents a MATLAB implementation of a JPEG-based image tampering detection algorithm. The code is designed to identify whether digital images have been manipulated, thereby ensuring data integrity and reliability. By leveraging JPEG compression artifacts and quantization characteristics, the algorithm can detect inconsistencies in tampered regions through double compression analysis or block artifact examination. Key functions include JPEG header parsing, quantization table extraction, and discrete cosine transform (DCT) coefficient analysis. The implementation employs matrix operations for efficient block processing and statistical analysis of DCT coefficient distributions. This solution enables rapid and accurate identification of image forgeries, supporting subsequent authentication measures. The MATLAB-based approach provides significant value for research and practical applications in digital image forensics and security fields.