Image Integrity Authentication Using Reversible Digital Watermarking with Difference Histogram Shifting

Resource Overview

A MATLAB source file implementing reversible digital watermarking based on difference histogram shifting for image integrity authentication. This technique embeds watermark data while enabling full recovery of the original image during extraction, ensuring tamper-proof verification.

Detailed Documentation

This MATLAB source file, developed using English-compliant code, implements reversible digital watermarking technology based on difference histogram shifting to ensure image integrity authentication. The algorithm operates by first calculating pixel difference values across the image, then modifying the histogram of these differences to embed watermark information while preserving reconstruction capability. Key functions include difference matrix computation, histogram bin shifting operations, and payload embedding/extraction routines. This technology embeds watermark information into images and enables complete restoration of the original image during watermark extraction, thereby achieving image authentication and protection. By implementing this technique, users can verify image authenticity and prevent tampering or forgery. This approach is particularly valuable for applications requiring image integrity protection, such as identification photo authentication, copyright protection, and forensic image analysis. The implementation features error-checking mechanisms and handles boundary conditions to maintain image quality throughout the watermarking process.