Multimed Tools Appl (2018) 77:30815–30840 https://doi.org/10.1007/s11042-018-6115-1 Robust perceptual image hashing using fuzzy color histogram Nilesh Dilipkumar Gharde · 1 1 Dalton Meitei Thounaojam · Badal Soni · Saroj Kr. Biswas Received: 7 August 2017 / Revised: 12 February 2018 / Accepted: 8 May 2018 / Published online: 1 June 2018 © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract Perceptual image hashing technique uses the appearance of the digital media object as human eye and generates a fixed size hash value. This hash value works as digital signature for the media object and it is robust against various digital manipulation done on the media object. This technique have been constantly in use in various application areas like content-based image retrieval, image authentication, digital watermarking, image copy detection, tamper detection, image indexing, etc., but it is difficult to generate a perfect perceptual image hash function due to the inverse relationship between its main properties i.e. perceptual robustness and discriminative capability. In this paper, a robust and desir- able discrimination capable dual perceptual image hash functions are proposed which use fuzzy color histogram for hash generation. The fuzzy engine needs stable color representa- tion to generate a robust fuzzy
Multimedia Tools and Applications – Springer Journals
Published: Jun 1, 2018
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