Turkish Journal of Computer and Mathematics Education
Journal license

Journal

Turkish Journal of Computer and Mathematics Education


Volume
& Issue

Volume 11, Issue 3


Published
on

December 9, 2020


Pages

2117-2127


DOI

Article

Hybrid Encryption-based Color Image Watermarking using Improved GWO with LSB


Authors

Sharon Rose Victor Juvvanapudi* Affiliation:
Research Scholar, Department of Electronics and Communication Engineering, Andhra University, Visakhapatnam, Andhra Pradesh, India
, P. Rajesh Kumar Affiliation:
Professor, Department of Electronics and Communication Engineering, Andhra University, Visakhapatnam, Andhra Pradesh, India
and K. V. V. Satyanarayana Reddy Affiliation:
Professor, Department of Electronics and Communication Engineering, Andhra University, Visakhapatnam, Andhra Pradesh, India


Abstract

Digital image authentication is an extremely significant concern for the digital revolution, as it is easy to tamper with any image. In the last few decades, it has been an urgent concern for researchers to ensure the authenticity of digital images. Based on the desired applications, several suitable color image watermarking (CIW) techniques have been developed to mitigate this concern. However, it is tough to achieve a watermarking system that is simultaneously robust and secure. Therefore, this article introduces the hybrid encryption (HE)-based CIW using improved grey-wolf optimizer (IGWO) with least significant bit (LSB) approach, here after denoted as HE with IGWO-LSB. Initially, the HE performed on watermark image to encrypt the data securely before embedding it into cover image. In addition, the IGWO unifies the advantages of traditional GWO with discrete cosine transform (DCT) for enhanced feature extraction in transform domain. Then, LSB approach is employed for embedding the encrypted watermark image into the cover image. Finally, the watermarked image is obtained using IDCT with postprocessing operations. The simulations carried out on standard test images discloses the superiority of proposed HE with IGWO-LSB approach as compared to state-of-art CIW approaches in terms of peak signal-to-noise ratio (PSNR), structural similarity (SSIM) index, mean square error (MSE), normalized cross correlation (NCC) and unified averaged changed intensity (UACI) values.


Keywords

Digital watermarking, chaos encryption, discrete cosine transform, grey-wolf optimizer, least significant bit algorithm


Citation

Juvvanapudi, S. R. V., Kumar, P. R., & Reddy, K. V. V. S. (2020). Hybrid encryption-based color image watermarking using improved GWO with LSB. Turkish Journal of Computer and Mathematics Education, 11(3), 2117–2127.

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