A robust watermarking approach based on skewness thresholding
Autor: | Murat Yesilyurt |
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Rok vydání: | 2013 |
Předmět: |
business.industry
Data_MISCELLANEOUS ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Process (computing) Watermark Pattern recognition Image segmentation Thresholding Image (mathematics) Skewness Computer Science::Multimedia Discrete cosine transform Artificial intelligence business Digital watermarking Computer Science::Cryptography and Security Mathematics |
Zdroj: | 2013 International Conference on Electronics, Computer and Computation (ICECCO). |
DOI: | 10.1109/icecco.2013.6718283 |
Popis: | In recent years, many studies have been carried out about information security and watermarking. The main idea of this proposed method is to implement a invisible binary watermarking application based on Discrete Cosine Transform (DCT) and skewness thresholding. Thanks to the use of skewness values, distribution properties of DCT coefficients in blocks can be identified for robust watermarking process. If the distribution is symmetrical or ideal distribution, the DCT blocks of image is used for watermarking process, otherwise it is not used. Thus the deterioration of the image will be reduced and the recovery process of watermark will become easier. |
Databáze: | OpenAIRE |
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