Robust image hashing based on structural and perceptual features for authentication of color images Article Swipe

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Muhammad Farhan Khan , Syed Muhammad G. Monir , Imran Naseem ·

YOU? · · 2020 · Open Access · · DOI: https://doi.org/10.3906/elk-2002-6

Image hashing is one of the most celebrated techniques regarding the discipline of image forensics, imageretrieval, image indexing, content verification, and zero watermarking. For such sensitive and complex problems,generation of a unique and robust image hash is an utmost prerequisite for an image identifier driven from the perceptualcontents of an image. As a design perspective, it is essential for an image hash to have robustness and optimizeddiscriminative capability. We propose a robust image hashing technique by acquiring perceptual features based on anovel distance magnitude profile utilizing color pixel incongruity among the contiguous pixels, as well as producing astructural image for discrimination. The combination of both results provide a state-of-the-art robust profile that hase?icient discriminative capacity and is impervious to usual signal processing violations.

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Artificial Intelligence

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Hash function Artificial intelligence Computer science Feature hashing Robustness (evolution) Computer vision Pattern recognition (psychology) Pixel Discriminative model Cryptographic hash function Double hashing Biochemistry Computer security Chemistry Gene

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Type: article
Language: en
Landing Page: https://doi.org/10.3906/elk-2002-6
PDF: https://doi.org/10.3906/elk-2002-6
OA Status: bronze
Cited By: 7
Related Works: 10
OpenAlex ID: https://openalex.org/W3151496678

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OpenAlex ID: https://openalex.org/W3151496678

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DOI: https://doi.org/10.3906/elk-2002-6

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Title: Robust image hashing based on structural and perceptual features for authentication of color images

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Type: article

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Language: en

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Publication year: 2020

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Publication date: 2020-09-23

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Authors: Muhammad Farhan Khan, Syed Muhammad G. Monir, Imran Naseem

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Landing page: https://doi.org/10.3906/elk-2002-6

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Concepts: Hash function, Artificial intelligence, Computer science, Feature hashing, Robustness (evolution), Computer vision, Pattern recognition (psychology), Pixel, Discriminative model, Cryptographic hash function, Double hashing, Biochemistry, Computer security, Chemistry, Gene

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Cited by: 7

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Citations by year (recent): 2025: 1, 2024: 1, 2023: 3, 2021: 2

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