Novel health care X-ray image-hiding scheme using neural network technique
| Autor: | S-M Lee, D-C Lou, J-L Liu, M-C Hu |
|---|---|
| Rok vydání: | 2008 |
| Předmět: |
Artificial neural network
business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Watermark Luminance Information hiding Human visual system model Media Technology Entropy (information theory) The Internet Computer vision Computer Vision and Pattern Recognition Artificial intelligence business Digital watermarking |
| Zdroj: | The Imaging Science Journal. 56:1-10 |
| ISSN: | 1743-131X 1368-2199 |
| DOI: | 10.1179/174313107x176261 |
| Popis: | A novel health care X-ray image watermarking approach based on human visual model and neural network technique is proposed. The human visual model is used to generate a suitable strength of the embedded watermark and can be described in terms of four properties: entropy, frequency, luminance and texture sensitivity. The neural network technique is employed to obtain the local characteristics of the original image. In experiments for different health care X-ray images, the proposed scheme can achieve a better stego-image quality as well as extracted secret image visual quality. The proposed system can be used on the Internet to reduce difficulties that medical personnel might encounter. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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