Abstract : With the surge in digital imagery across law, healthcare, and media, ensuring authenticity and tamper-proof evidence has become a critical concern. The current survey offers an in-depth overview of how blockchain technology can strengthen digital image forensics (DIF), which exploit weaknesses involving unauthentic changes, metadata tampering, and ineffective chain of custody. The paper starts by a brief description of the issues of the traditional DIF systems, especially in distributed systems and IoT-based systems. It then categories the blockchain-integrated frameworks like LEChain, FIF-IoT, BB-RICP, and BlockShield by focusing on their architectures, encryption mechanisms, models of consensus, and performance results. These systems demonstrate the ability to store safely, cryptographically verify, query at low latency and manage evidence that is in real time. One of the assessments compared was a comparative analysis, showing such measures as throughput, tamper detection, and energy efficiency, wherein blockchain has application in increasing forensic integrity and traceability. These applications reach into law enforcement, surveillance, and legal trials, with blockchain enhancing the admissibility and provenance of evidence. In spite of these developments, the paper cites remaining issues on scalability, privacy, interoperability, and incorporation of AI. And the future directions include quantum-resistant cryptography, AI-driven decision model, cross-chain compatibility, and mobile-supported forensic solutions to design secure and legally compliant forensic infrastructures.