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Articles by Zhenfei Zhao
Total Records ( 4 ) for Zhenfei Zhao
  Zhenfei Zhao , Hao Luo and Zhe-Ming Lu
  This study proposes an improved image secret sharing scheme based on the discrete fractional random transform. In this (r, n)-threshold prototype, the shadow size is reduced to 1/r of the secret image. In contrast, all shadows are of the same size as that of the secret image in the original scheme. Consequently, much storage space and transmission time is saved. Besides, our scheme can be naturally extended to multi-image secret sharing, i.e., r secret images can be encrypted in n shadows at a time. Meanwhile, the security is perfectly preserved due to the randomness of the discrete fractional random transform. Experimental results demonstrate the effectiveness of our scheme.
  Hao Luo , Zhenfei Zhao and Zhe-Ming Lu
  This study proposed a scheme that incorporates secret sharing and data hiding techniques for block truncation coding compressed image transmission. The bitmap of each compressed block is encrypted and meanwhile two quantization levels are hidden in two share images. The secure transmission system still preserves the properties such as low complexity and acceptable reconstruction image quality of the standard block truncation coding compression. In addition, each share image is half size of the compressed version such that no extra burden is laid on available transmission resources. Experimental results demonstrate the effectiveness of our scheme.
  Zhenfei Zhao and Hao Luo
  As an effective technique, reversible data hiding played an important role in multimedia security. Its key advantage lies in not only the cover image but also the secret hidden data can be recovered accurately in decoder. In recent years, many reversible data hiding schemes for images were developed, aiming to enhance the hiding capacity and stego-image visual quality. Fractal curves have been successfully applied in digital image processing. In this study, the Hilbert curve, one of the popular used Fractal curves, was applied for reversible data hiding in natural images incorporated with histogram modification. Extensive experimental results demonstrated the effectiveness of the proposed scheme. Moreover, the superior performance of higher capacity and better stego-image quality is illustrated in comparison with several available methods of the same kind.
  Zhenfei Zhao , Guangyu Kang and Ruixu Guo
  In this study, a reversible data hiding for natural images are proposed. It exploits the technique of orthogonal prediction error modification and multilevel histogram shifting. The proposed orthogonal prediction error modification strategy uses the sets of basic pixels to predict the value of non-basic pixels. A histogram is constructed based on the sequences of prediction errors, and a multilevel histogram shifting mechanism is designed for embedding secret data. In decoder, the cover image pixels and secret data are perfectly recovered. The experimental results show the effectiveness of the proposed scheme. As more embedding levels are used in data hiding, the capacity can be enhanced to about 1.0 bit per pixel. Meanwhile, the visual quality can be achieved as larger than 30 dB.
 
 
 
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