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An Image Authentication Algorithm Using Combined Approach of Watermarking and Vector Quantization

  • Archana Tiwari EMAIL logo and Manisha Sharma
Published/Copyright: July 21, 2017
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Journal of Intelligent Systems
From the journal Journal of Intelligent Systems Volume 27 Issue 1

Abstract

This paper presents a two-stage watermarking technique for image authentication adapting the advantages of vector quantization (VQ). In the proposed algorithm, robust watermark and semifragile watermark are embedded independently in two successive stages. Robust watermark and VQ enhance the security of the system by providing double protection to the designed system, while semifragile watermark helps in authenticating the received image. Watermarks of varying sizes are embedded in the cover image, and their performance is measured in terms of peak signal-to-noise ratio (PSNR), weighted PSNR, and bit error rate. A threshold-based approach is suggested for identification of attacks as acceptable or malicious. The experimental results demonstrate the capabilities of the method in classifying attacks and correctly locating the tampered area. It is possible to detect and determine tampering with very high sensitivity. The present scheme outperforms previous algorithms in terms of imperceptibility, attack classification criteria, robustness feature, and tamper detection feature.

Keywords: Authentication; vector quantization; robust watermarking; semifragile watermarking; attack classification

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Received: 2017-02-01
Published Online: 2017-07-21
Published in Print: 2018-01-26

©2018 Walter de Gruyter GmbH, Berlin/Boston

Articles in the same Issue

  1. Frontmatter
  2. Editorial
  3. Introduction to the Special Issue on Recent Developments in Multimedia Watermarking Using Machine Learning
  4. Multiple Watermarking for Healthcare Applications
  5. Medical Image Reliability Verification Using Hash Signatures and Sequential Square Encoding
  6. An Image Authentication Algorithm Using Combined Approach of Watermarking and Vector Quantization
  7. A Novel Scene-Based Video Watermarking Scheme for Copyright Protection
  8. Novel Relevance Feedback Approach for Color Trademark Recognition Using Optimization and Learning Strategy
  9. A Parallel Algorithm for Wavelet Transform-Based Color Image Compression
  10. Combining Haar Wavelet and Karhunen-Loeve Transform for Robust and Imperceptible Data Hiding Using Digital Images
  11. Machine Learning-Based Robust Watermarking Technique for Medical Image Transmitted Over LTE Network
  12. An Efficient Medical Image Watermarking Technique in E-healthcare Application Using Hybridization of Compression and Cryptography Algorithm
https://doi.org/10.1515/jisys-2017-0026
Keywords for this article
Authentication; vector quantization; robust watermarking; semifragile watermarking; attack classification

Articles in the same Issue

  1. Frontmatter
  2. Editorial
  3. Introduction to the Special Issue on Recent Developments in Multimedia Watermarking Using Machine Learning
  4. Multiple Watermarking for Healthcare Applications
  5. Medical Image Reliability Verification Using Hash Signatures and Sequential Square Encoding
  6. An Image Authentication Algorithm Using Combined Approach of Watermarking and Vector Quantization
  7. A Novel Scene-Based Video Watermarking Scheme for Copyright Protection
  8. Novel Relevance Feedback Approach for Color Trademark Recognition Using Optimization and Learning Strategy
  9. A Parallel Algorithm for Wavelet Transform-Based Color Image Compression
  10. Combining Haar Wavelet and Karhunen-Loeve Transform for Robust and Imperceptible Data Hiding Using Digital Images
  11. Machine Learning-Based Robust Watermarking Technique for Medical Image Transmitted Over LTE Network
  12. An Efficient Medical Image Watermarking Technique in E-healthcare Application Using Hybridization of Compression and Cryptography Algorithm
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