A Novel Framework for Handling Duplicate Images using Hashing Techniques

Reproduction of duplicate pictures in a database can eat valuable storage area and complicate photo retrieval and management. This summary gives a method for successfully figuring out and putting off replacing images from a database by using hashing techniques. By the way of using cryptographic hash functions and content-based hashing, this approach generates particular hash values for every image, allowing for the fast detection of duplicates. The process is comparing the hash values and eliminating equal duplicates, thereby optimizing storage and streamlining image retrieval. This approach is mainly beneficial in situations where image duplication is critical, consisting of digital asset control, content sharing platforms, and picture-heavy programs. Through implementing this hashing-based technique, organizations can enhance database efficiency, reduce storage prices, and enhance the overall user experience.