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Articles by Yu-Xin Su
Total Records ( 2 ) for Yu-Xin Su
  Cai-Hua Li , Zhe-Ming Lu and Yu-Xin Su
  Recently, more and more attention have been paid to reversible data hiding techniques for compressed images based on JPEG, JPEG2000, Vector Quantization (VQ) and Block Truncation Coding (BTC). Exiting data hiding schemes in the BTC domain modified the BTC encoding stage or BTC-compressed data according to the secret bits and their embedding capacity was not high and might reduce the image quality. This study introduced the histogram shifting technique to BTC-compressed mean tables to further improve the hiding capacity while maintaining the BTC-compressed image quality. First, the original image was encoded by the BTC technique to obtain the BTC-compressed data which could be represented by a high mean table, a low mean table and a bitplane sequence. Then, the proposed reversible data hiding scheme was performed on the BTC-compressed data. Present hiding scheme contained two main steps, one was the bitplane flipping step that hid secret bits by swapping the high mean and low mean, the other was histogram shifting of the resulting mean tables after swapping. Experimental results showed that our scheme outperformed two existing BTC-based reversible data hiding works, in terms of capacity and efficiency.
  Xin-Feng Li , Shi-Ze Guo , Yu-Xin Su and Zhe-Ming Lu
  Recently, researchers have presented several deterministic small-world networks (DSWNs) which can be generated in a special iteration process without randomness. However, to the best of our knowledge, no one has studied the synchronizability of DSWNs up to now. In this study, we focus on the synchronizability of the edge iteration based deterministic small world network (EIB-DSWN) that was presented in 2006. Our testing results show that the EIB-DSWN has very poor synchronizability. To improve the synchronizability, we propose using the Modified Simulated Annealing (MSA) algorithm to optimize the EIB-DSWN. After MSA-based optimization, to check if the optimized network is still a kind of small-world network, we calculate its three main characteristics. It turns out that the MSA algorithm can significantly optimize the synchronizability of the EIB-DSWN under the premise of ensuring small world characteristics.
 
 
 
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