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A Blind Color Image Watermarking Using BRISK Features and Contourlet Transform

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Recent Trends in Image Processing and Pattern Recognition (RTIP2R 2018)

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

Abstract

A digital blind-watermarking scheme on color images is designed using Contourlet Transform (CT) and QR-decomposition to provide authentication and Intellectual Property Rights protection. Firstly, cover color image is transformed to Luminance, Chroma blue and red components (YCbCr). Secondly, the luminance component of cover image is transformed by CT and divide the low-level sub-band to \(4\times 4\) blocks (non-overlapping). Thirdly, the blocks are decomposed using QR decomposition. Finally, watermark encrypted using Arnold transform is embedded into cover image with adaptively calculated embedding factor values using Binary Robust Invariant Scalable Key-points features. In blind-watermarking extraction, the watermark is extracted without cover image from distorted watermarked images. Simulation results demonstrate that the designed digital blind-watermarking method has high invisibility and strong robustness from different attacks (image and signal processing). The proposed scheme has good results in comparison with related methods.

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Authors and Affiliations

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

    S. Prasanth Vaidya

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  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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Prasanth Vaidya, S. (2019). A Blind Color Image Watermarking Using BRISK Features and Contourlet Transform. 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_19

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  • DOI: https://doi.org/10.1007/978-981-13-9181-1_19

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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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