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International Conference on Recent Trends in Image Processing and Pattern Recognition

RTIP2R 2018: Recent Trends in Image Processing and Pattern Recognition pp 132–143Cite as

Multiple Decompositions-Based Blind Watermarking Scheme for Color Images

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1035))

Abstract

A blind extraction watermarking method on color images is designed to protect © & identify owner of multimedia. Watermark in color is exploited to deliver universality and boundless applicability to proposed watermarking method. The host data is decomposed by applying four decomposition techniques like Discrete Wavelet Transform (DWT), QR, SVD & Schur decomposition. Arnold transformed watermark is utilized for better security. This scheme embed’s color watermark into gray-scale cover image which will be out of attacker’s expectation. A probabilistic neural network (PNN) is utilized in the watermark extraction. Robustness and quality of scheme are evaluated with quality measurement functions like Peak Signal to Noise Ratio (PSNR) and Normalized Correlation Coefficient (NCC).

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Gayatri Vidya Parishad College of Engineering (A), Visakhapatnam, AP, India

    S. Prasanth Vaidya

Authors
  1. S. Prasanth Vaidya
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Correspondence to S. Prasanth Vaidya .

Editor information

Editors and Affiliations

  1. Department of Computer Science, University of South Dakota, Vermillion, SD, USA

    K. C. Santosh

  2. Solapur University, Solapur, India

    Ravindra S. Hegadi

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Cite this paper

Prasanth Vaidya, S. (2019). Multiple Decompositions-Based Blind Watermarking Scheme for Color Images. In: Santosh, K., Hegadi, R. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2018. Communications in Computer and Information Science, vol 1035. Springer, Singapore. https://doi.org/10.1007/978-981-13-9181-1_12

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  • DOI: https://doi.org/10.1007/978-981-13-9181-1_12

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9180-4

  • Online ISBN: 978-981-13-9181-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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