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Two techniques combining associative watermarking and self-embedding are used to support the blind watermarking detection. The experimental result shows that the proposed method is robust. When the watermarked images suffered from various kinds of image-processing procedures, such as Gaussian noise and brightness, the existence of watermarks can be detected without the original image's assistance.
This paper proposes a blind associative watermarking by applying the self-embedding technique, to solve the watermarking technique's waste of the time and space to search for and keep the original image. Form experimental results, shown our scheme has the degree of confidence of around 99% to identify if a given detection image has the watermark embedded within even though it has met with some image...
Data mining can dig out valuable information from databases to assist a business in approaching knowledge discovery and improving business intelligence. Database stores large structured data. The amount of data increases due to the advanced database technology and extensive use of information systems. Despite the price drop of storage devices, it is still important to develop efficient techniques...
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