| Autor: |
Pithiya, Kiran, M., Kothari Ashish |
| Zdroj: |
Educational Administration: Theory & Practice; 2024 Special Issue, Vol. 30, p346-350, 5p |
| Abstrakt: |
This paper introduces a novel method for embedding watermark messages into the crucial part of an image, specifically the region of interest (ROI). The focus is on identifying the human face within an image and embedding the watermark within this detected face. Once the watermark is embedded, the altered face image is reinserted back into the original image. To achieve this, the method employs a face identification algorithm alongside the powerful linear algebra technique known as Singular Value Decomposition (SVD). Additionally, the paper utilizes three widely recognized visual quality metrics to evaluate the method's effectiveness. At the transmitter side, Peak Signal to Noise Ratio (PSNR) and Mean Square Error (MSE) are used to assess the perceptual quality of the image after watermark embedding. At the receiver side, correlation is measured to test the robustness of the algorithm. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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