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First International Conference on Real Time Intelligent Systems

RTIS 2016: Lecture Notes in Real-Time Intelligent Systems pp 127–136Cite as

Research on Image Fingerprint Technology Based on Watson Visual Model Multimedia Technology

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 613))

Abstract

Computer network has greatly changed the life and work of people, the demand of people for information has been developed from the single text message to the current graphics, images, audio, video and other digital multimedia forms. With the development of a large number of multimedia applications, the digital image is easy to be operated and tampered, this paper aims to study an image fingerprint algorithm based on the masking characteristics of the human eye. An image sensing Hash algorithm based on human visual model is proposed to effectively eliminate the influence of geometric attacks. Watson visual model is used to deal with the DCT coefficients to produce the image fingerprint sequences, which has excellent robustness and security. The experiment proves that the algorithm can certify the copyright of the image, reduce geometric attacks, JPEG compression and other attacks, it can also use the key to generate the pseudo-random matrix, so as to encrypt the image, and effectively realize the security of the algorithm.

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Author information

Authors and Affiliations

  1. State Key Laboratory of Electronic Thin Films and Integrated Devices, University of Electronic Science and Technology of China, Chengdu, China

    Zhang Chi

Authors
  1. Zhang Chi
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Correspondence to Zhang Chi .

Editor information

Editors and Affiliations

  1. Institute of Mathematics and Computer Science, Opole University , Opole, Opolskie, Poland

    Jolanta Mizera-Pietraszko

  2. Digital Information Research Foundation , Chennai, Tamil Nadu, India

    Pit Pichappan

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Chi, Z. (2018). Research on Image Fingerprint Technology Based on Watson Visual Model Multimedia Technology. In: Mizera-Pietraszko, J., Pichappan, P. (eds) Lecture Notes in Real-Time Intelligent Systems. RTIS 2016. Advances in Intelligent Systems and Computing, vol 613. Springer, Cham. https://doi.org/10.1007/978-3-319-60744-3_14

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  • DOI: https://doi.org/10.1007/978-3-319-60744-3_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60743-6

  • Online ISBN: 978-3-319-60744-3

  • eBook Packages: EngineeringEngineering (R0)

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