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eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in April 2026 (Volume 30, Issue 1) Submit manuscript

Dynamically selected watermark insertion using machine learning

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Soppari. Kavitha, T Sri Vinay *, G Sai Teja and P H Rohith

Department of Computer Science and Engineering, ACE Engineering College, Hyderabad, Telangana, India.
 
Research Article
World Journal of Advanced Research and Reviews, 2023, 18(03), 577-584
Article DOI: 10.30574/wjarr.2023.18.3.1078
DOI url: https://doi.org/10.30574/wjarr.2023.18.3.1078
 
Received on 28 April 2023; revised on 10 June 2023; accepted on 12 June 2023
 
Watermarking is a process of embedding one image into another image, used to protect the image from copyright infringement; the main aim of this watermarking is to provide ownership assertion- only rightful owner can extract the watermark from image to prove the ownership. Day-to-day the attacks on digital content (like images) are increasing, but still the same traditional watermarking process is used to for content protection. In traditional watermark embedding process static watermarks are used at the source which may lead to compromise of algorithm. To avoid this, in this paper a very new way of watermarking is introduced with the help of object detection, along with the concept of content-related watermarking by dynamically selecting the watermark image.
 
Watermarking; Object Detection; Watermark; Digital Content.
 
https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2023-1078.pdf

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Soppari. Kavitha, T Sri Vinay, G Sai Teja and P H Rohith. Dynamically selected watermark insertion using machine learning. World Journal of Advanced Research and Reviews, 2023, 18(3), 577-584. Article DOI: https://doi.org/10.30574/wjarr.2023.18.3.1078

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