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Image hash functions find extensive applications in content authentication, database search, and watermarking. This paper develops a new algorithm for generating an image hash based on Fourier transform features and controlled randomization. We formulate the robustness of image hashing as a hypothesis testing problem and evaluate the performance under various image processing operations. We show that the proposed hash function is resilient to content-preserving modifications, such as moderatedoi:10.1109/tifs.2006.873601 fatcat:2truvdg2izcndk2rf2rmixde4u