Deep learning‐based robust medical image watermarking exploiting DCT and Harris hawks optimization

International Journal of Intelligent SystemsVolume 37, Issue 8 p. 4810-4844 RESEARCH ARTICLE Deep learning-based robust medical image watermarking exploiting DCT and Harris hawks optimization Anusha Chacko, Corresponding Author Anusha Chacko [email protected] orcid.org/0000-0003-0281-3067 Research Scholar, Department of Electronics and Communication Engineering, Karunya Institute of Technology and Science, Coimbatore, Tamil Nadu, India Department of Electronics and Communication Engineering, Vimal Jyothi Engineering College, Chemperi, Kerala, India Correspondence Anusha Chacko, Research Scholar, Department of Electronics and Communication Engineering, Karunya Institute of Technology and Science, Coimbatore, TN, India; Department of Electronics and Communication Engineering, Vimal Jyothi Engineering College, Chemperi, Kerala, India. Email: [email protected]Search for more papers by this authorShanty Chacko, Shanty Chacko orcid.org/0000-0002-6117-9871 Department of Electrical and Electronics Engineering, Karunya Institute of Technology and Science, Coimbatore, Tamil Nadu, IndiaSearch for more papers by this author Anusha Chacko, Corresponding Author Anusha Chacko [email protected] orcid.org/0000-0003-0281-3067 Research Scholar, Department of Electronics and Communication Engineering, Karunya Institute of Technology and Science, Coimbatore, Tamil Nadu, India Department of Electronics and Communication Engineering, Vimal Jyothi Engineering College, Chemperi, Kerala, India Correspondence Anusha Chacko, Research Scholar, Department of Electronics and Communication Engineering, Karunya Institute of Technology and Science, Coimbatore, TN, India; Department of Electronics and Communication Engineering, Vimal Jyothi Engineering College, Chemperi, Kerala, India. Email: [email protected]Search for more papers by this authorShanty Chacko, Shanty Chacko orcid.org/0000-0002-6117-9871 Department of Electrical and Electronics Engineering, Karunya Institute of Technology and Science, Coimbatore, Tamil Nadu, IndiaSearch for more papers by this author First published: 22 November 2021 https://doi.org/10.1002/int.22742Citations: 1Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Abstract Image watermarking is an effective way to secure the ownership of digital photographs. This paper proposes a new methodology for integrating a watermark on the basis of various integrative strengths. The image is separated as 8 × 8 pixels blocks that do not overlap. The pixel size for each image block has been determined. For the embedding areas, picture blocks with the highest value have been chosen. Therefore, discrete cosine transformation (DCT) is transformed. The DCT coefficients are chosen in the midfrequency and the average selected DCT blocks are determined using a series of rules to produce various integration strengths. The watermarking bits were merged with the proposed deep learning convolution neural network (DLCNN) through a series of integration standards. The binary watermark has been scrambled by an Arnold transform until it is incorporated for additional stability. During the image carrier, a pattern recognition model depending on DLCNN is utilized to identify and extract the watermark and to recognize the watermark using the Harris hawks optimization (HHO) algorithm. The findings of the tests demonstrated that the system suggested is most imperceptible than the other current systems. The proposed method attains the efficiency watermarked picture with 46 dB peak signal-to-noise ratio value. This paper focuses on robust medical image watermarking exploiting DCT by using the HHO algorithm. The watermark lossless compression reduces watermark payload without data loss. In this research work, watermark is the consolidation of DCT and image watermarking secret key. The performance of robust medical image watermarking exploiting DCT with the HHO algorithm is compared with other conventional compression methods. HHO is found better and used to control watermarked image degradation in medical images watermarking. The proposed system also created a high resistance to remove watermarks during many attacks. Citing Literature Volume37, Issue8August 2022Pages 4810-4844 RelatedInformation