Accelerate Processing of Image with the Keccak-512 Algorithm on Cryptoprocessor

Image hashing is a crucial technique for content authentication and image retrieval in various applications, including multimedia databases and copyright protection. This study introduces a novel approach to image hashing that leverages the capabilities of FPGAs and harnesses the cryptographic strength and computational efficiency of the Keccak-512 algorithm. Our experimentations were conducted on the Intel Arria 10 GX FPGA board, and the versatile Nios II enhanced micropro-cessor. The results gleaned from these experiments underscore the tremendous potential of our FPGA-based image-hashing approach. It presents an alluring solution, merging efficiency with security, effectively addressing the burgeoning demands for content authentication and image integrity verification across diverse image-centric applications. This approach provides a powerful tool for addressing the increasing demand for image authentication and integrity verification in the digital age.