The growing need for high-resolution image enhancement across various domains including medical imaging, forensics, satellite analysis, and digital content preservation, demands a solutions that not only improve image quality but also ensure data security and the privacy. Conventional image enhancing methods depend on the centralized deep learning models, which have challenges associated with lack of transparency, illegal access, and data breaches. By combining blockchain technology and decentralized storage with Enhanced Super-Resolution GAN (ESRGAN) for high-quality enhanced images, the BlockEnhance tackles these issues and guarantees safe and impenetrable data management. InterPlanetary File System (IPFS) is used by the system for decentralized storage, where the improved images are safely stored and encrypted producing a distinct cryptographic hash. The Ethereum blockchain records the hash generated along with necessary metadata, guaranteeing the secure retrieval, transparency, and also the immutability. For applications that need high-fidelity and secure image processing, the BlockEnhance can improves data integrity and privacy by taking dispense with the need for centralized storage. By removing the need for centralized storage, BlockEnhance also improves data sovereignty and reduces single points failure. With end-to-end security for both the visual data and its access history, the suggested methodology is especially well-suited for applications wherever privacy is a concern. Future advancements include the inclusion of Federated Learning (FL), which may permits collaborative learning without sharing raw data and permits privacy-preserving AI model training. BlockEnhance offers a scalable, safe, and privacy-focused platform for data security in sensitive applications, digital rights protection, and AI-driven picture enhancement.