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- W1707342 abstract "A novel digital image covert communication algorithm is proposed to use the generalized fuzzy c-means clustering (GFCM), human visual system (HVS) and discrete cosine transform (DCT). The original image blocks are classified into two classes based on several characteristic parameters with HVS. One is suited for embedding security information, the other is not. So we can select the appropriate blocks in an image to embed the security information. The information is embedded in the original image by selectively modifying the middle-frequency part of the original image in conjunction with HVS and DCT. The maximal information strength is fixed according to the frequency masking. In the same time, for the good performance, the security information is modulated into the chaotic modulation array. The simulation results show that we can remarkably extract the hiding security information and can achieve good robustness with common signal distortion or geometric distortion and the quality of the embedded image is guaranteed." @default.
- W1707342 created "2016-06-24" @default.
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- W1707342 date "2009-01-01" @default.
- W1707342 modified "2023-09-25" @default.
- W1707342 title "A New Covert Image Communication Approach with HVS and GFCM" @default.
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- W1707342 doi "https://doi.org/10.1007/978-3-642-03664-4_2" @default.
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