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Articles by Hengfu Yang
Total Records ( 8 ) for Hengfu Yang
  Hengfu Yang , Xingming Sun and Guang Sun
  A novel semi-fragile watermarking scheme in image spatial domain is proposed. Each watermark bit is duplicated and embedded into sub-blocks of the host image by adaptive Least Significant Bit (LSB) substitution. The adaptive LSB substitution fully exploits the Human Visual System (HVS) masking characteristics, which ensures high visual quality of watermarked image. The watermark for authentication is extracted by taking a majority vote on the extracted bits. To differentiate attack types effectively, a classification rule for image authentication was developed. Experimental results show that the proposed scheme has good transparency and robustness against admissible signal operations, while it is sensitive to malicious attacks such as heavy noise addition, rotation by large angle, cutting and pasting. In addition, the scheme can localize the tampered region precisely.
  Ahmed A. Abdulfetah , Xingming Sun , Hengfu Yang and Nur Mohammad
  In this study, two image adaptive invisible digital watermarking algorithms based on DWT and DCT are proposed for copyright protection. The first proposed algorithm utilizes Watson’s visual model (JND) to determine the watermarking strength necessary to invisibly embed the watermark in the DCT block coefficients of the cover image by controlling the power of strength of JND. The second proposed technique embeds the watermark by modifying coefficients of the vertical and the horizontal detail sub-bands of wavelet sub-blocks, chosen with a secret key. The visual model is designed to generate a Just Noticeable Difference mask (JND) by analyzing image characteristics such as textures and luminance of the cover image in the DWT based domain. Since, the secret key is required for both embedding and extraction of watermark, it is not possible for an unauthorized user to extract the embedded watermark. The proposed schemes are robust to common image processing distortions like filtering, JPEG compression and noise. Experimental results show that the proposed schemes are efficient, imperceptible and the quality of watermarked image is very well and robust for various image processing distortions.
  Lingyun Xiang , Xingming Sun , Yuling Liu and Hengfu Yang
  In this study, a novel secure steganographic method was proposed by taking advantage of Multiple-Choice Questions (MCQs). Selecting a series of MCQs to automatically generate a stego text could conceal secret information. The proposed method could achieve a considerable embedding bit rate while being able to hide more information by reordering the options of the generated MCQs. The final outputting stego texts were kept the same linguistic and statistic characteristics as normal texts, thus the hidden information had good imperceptibility and could survive under potential steganalysis attacks, which was also demonstrated by experiments. More experimental results showed that the average embedding bit rate achieved more than 1 bit per sentence, which was superior to the bit rate of most existing linguistic steganographic methods.
  Nur Mohammad , Xingming Sun and Hengfu Yang
  The Development of modern communication technology, demand for digital image, audio, video and other contents transmission and storage are increasing rapidly. To protect digital product and ensure the secure transfer of the digital items become important issue in home and abroad. The researcher developed many algorithms; these are some specific fields. But can’t grantee the whole safety of the contents. The Block Truncation Coding one of the effective and real time application for the hiding data compare with transform domain and other techniques. In a coding technique, a number of bits required to represent an image which needs less data store and less computation. Application of coding in the field of image processing generally concern image data compression for storage and transmission as well as feature extraction for pattern recognition. Most existing BTC-based data hiding algorithms do not fully exploit visual perception of the host images and cannot obtain high hiding capacity and visual quality. For fully exploit visual perception and high hiding capacity, an excellent data hiding scheme based on BTC is proposed. First, the BTC scheme uses a two level (one-bit) nonparametric quantizer that adapts to local properties of the image. Second we employed Human Visual System (HVS) masking characteristics which ensure high visual quality of stego image. At the last, we embedded the data into the modified bitmap of BTC. The experimental results show that the proposed algorithm has good transparency, high hiding capacity and the visual quality of stego-images is very good.
  Bin Xia , Xingming Sun , Lingyun Xiang , Haijun Luo and Hengfu Yang
  This study presented a method to detect Least Significant Bit (LSB) matching steganography in gray images based on the neighborhood node degree characteristic. Natural images have a strong correlation between adjacent pixels and it’s disturbed by LSB matching. Accordingly the effects of LSB matching steganography on neighborhood node degree were examined at first. Then features were extracted from neighborhood node degree histogram. A new calibration algorithm based on neighborhood node degree was proposed to get more effective features. Support Vector Machine (SVM) was used as classifier. Experimental results demonstrated that the proposed method was efficient to detect the LSB matching steganography and had superior results compared with other recently proposed algorithms on compressed images and low embedding rate uncompressed images.
  Xiaoliang Wang , Yuling Liu and Hengfu Yang
  In P2P network, the existing researches focus on protecting the security of information transmission, or ensuring users’ privacy. Security certification is a basic demand of P2P network, including the general authenticity, credibility, integrity and so on. Privacy protection for transactions is the high-level requirement of security, including confidentiality, copyright management, access control. One-sided pursuit of certification will affect the privacy rights of users while one-sided pursuit of anonymous will bring a series of anonymous abuse problems. However, little research has paid attention to urgency of this dilemma, leading to the emergence of a large number of problems in the applications. This study presents an anonymous authentication scheme based on homomorphic encryption, called FHET (Fully homomorphic encryption trust). FHET makes use of trust certificates and can also be combined with existing P2P reputation system which effectively prevents the selfish behavior of peers and ensures scalability, portability and practicality.
  Hengfu Yang and Jianping Yin
  Generally, image compression using Block Truncation Coding (BTC) can’t provide high compression ratio and visual quality. A new adaptive BTC scheme is proposed by combining visual perception of original images and data hiding technique. The texture sensitivity is exploited to classify the types of image sub-block and reduce the bit rate while remaining good quality of reconstructed images. Moreover, the indicator bits of image sub-blocks are hidden into the quantizing levels of those blocks for decoding purpose. The simulation results show that the proposed BTC algorithm can achieve good balance between bit-rate and PSNR values. Especially, it obtained about 4.0 dB higher PSNR at approximate bit-rate.
  Nur Mohammad , Xingming Sun and Hengfu Yang
  The development of modern communication technology, demand for digital image, audio, video and other digital contents transmission and storage are increasing rapidly. To protect digital product and ensure the secure transfer of the digital content become important issue in every fields. The researcher developed many visible watermarking algorithms; these are some specific fields. But can’t applicable of the digital image perfectly. In this research, An Adaptive Visible Watermarking Algorithm for BTC compressed images presented. BTC one of the effective and real time application for the image compression compare with transform domain and other data hiding techniques. Existing BTC-based visible data hiding algorithms do not fully exploit visual perception of the host images. That is why cannot obtain high hiding capacity and high visual quality of watermarked-images and visible watermark images. To obtain high visual quality of watermarked images and good perceptual visible watermark image, an adaptive scaling factor and embedding factor calculated by exploiting luminance and texture masking characteristics of digital images. This study is useful for modern communication technology. An Adaptive Visible Watermarking Algorithm for BTC compressed images is presented in the paper. For the more, the experimental results proved that the algorithm adaptive visible hiding information capacity is very high. So, the visual quality of watermarked-images and visible watermark image is very good.
 
 
 
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