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Image watermarking algorithm based on quaternion and singular value decomposition
CHEN Shanxue FENG Yinbo
Journal of Computer Applications    2013, 33 (06): 1626-1629.   DOI: 10.3724/SP.J.1087.2013.01626
Abstract1023)      PDF (683KB)(661)       Save
A new method for embedding watermark in color image which combined Quaternion Discrete Cosine Transform (QDCT) and Singular Value Decomposition (SVD) was proposed. First of all, binary watermark was preprocessed with the help of the Arnold scrambling application and the color image was made block QDCT and SVD by using quaternion theory. Then, a number of image blocks were selected at random by Logistic mapping to realize the embedding of watermark. The experimental results show that this method has strong anti-JPEG compression as well as better robustness to various kinds of noise and filtering.
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The testing research based on an extended Petri net of EEPC
Feng Yin
Journal of Computer Applications   
Abstract2078)      PDF (625KB)(811)       Save
In the Grid testing, the integration testing was one of the most important. For cutting down the testing cost, the extended Petri net and Extended Event-Process Chain (EEPC) model were taken as the researching base during the integration testing of components. After fusing adequately the excellences of Petri and EEPC in structure expression, qualitative and quantitative analysis, etc., the PRI of components would be sorted through quantitatively analyzing some parameter, such as the using frequency of components. In the end, the testing emphasis would be put on the components that had the more upper PRI, in order to reduce the testing cost in an across-the-board status.
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