The Experts below are selected from a list of 36318 Experts worldwide ranked by ideXlab platform

Xijian Ping - One of the best experts on this subject based on the ideXlab platform.

  • reliable detection of lsb steganography based on the difference Image Histogram
    International Conference on Acoustics Speech and Signal Processing, 2003
    Co-Authors: Tao Zhang, Xijian Ping
    Abstract:

    A new steganalytic technique based on the difference Image Histogram aimed at LSB steganography is proposed. Translation coefficients between difference Image Histograms are defined as a measure of the weak correlation between the least significant bit (LSB) plane and the remaining bit planes, and then used to construct a classifier to discriminate the stego-Image from the carrier-Image. The algorithm can not only detect the existence of hidden messages embedded using sequential or random LSB replacement in Images reliably, but also estimate the amount of hidden messages exactly. Experimental results show that for raw lossless compressed Images the new algorithm has a better performance than the RS analysis method and improves the computation speed significantly.

  • ICASSP (3) - Reliable detection of LSB steganography based on the difference Image Histogram
    2003 IEEE International Conference on Acoustics Speech and Signal Processing 2003. Proceedings. (ICASSP '03)., 1
    Co-Authors: Tao Zhang, Xijian Ping
    Abstract:

    A new steganalytic technique based on the difference Image Histogram aimed at LSB steganography is proposed. Translation coefficients between difference Image Histograms are defined as a measure of the weak correlation between the least significant bit (LSB) plane and the remaining bit planes, and then used to construct a classifier to discriminate the stego-Image from the carrier-Image. The algorithm can not only detect the existence of hidden messages embedded using sequential or random LSB replacement in Images reliably, but also estimate the amount of hidden messages exactly. Experimental results show that for raw lossless compressed Images the new algorithm has a better performance than the RS analysis method and improves the computation speed significantly.

Tao Zhang - One of the best experts on this subject based on the ideXlab platform.

  • reliable detection of lsb steganography based on the difference Image Histogram
    International Conference on Acoustics Speech and Signal Processing, 2003
    Co-Authors: Tao Zhang, Xijian Ping
    Abstract:

    A new steganalytic technique based on the difference Image Histogram aimed at LSB steganography is proposed. Translation coefficients between difference Image Histograms are defined as a measure of the weak correlation between the least significant bit (LSB) plane and the remaining bit planes, and then used to construct a classifier to discriminate the stego-Image from the carrier-Image. The algorithm can not only detect the existence of hidden messages embedded using sequential or random LSB replacement in Images reliably, but also estimate the amount of hidden messages exactly. Experimental results show that for raw lossless compressed Images the new algorithm has a better performance than the RS analysis method and improves the computation speed significantly.

  • ICASSP (3) - Reliable detection of LSB steganography based on the difference Image Histogram
    2003 IEEE International Conference on Acoustics Speech and Signal Processing 2003. Proceedings. (ICASSP '03)., 1
    Co-Authors: Tao Zhang, Xijian Ping
    Abstract:

    A new steganalytic technique based on the difference Image Histogram aimed at LSB steganography is proposed. Translation coefficients between difference Image Histograms are defined as a measure of the weak correlation between the least significant bit (LSB) plane and the remaining bit planes, and then used to construct a classifier to discriminate the stego-Image from the carrier-Image. The algorithm can not only detect the existence of hidden messages embedded using sequential or random LSB replacement in Images reliably, but also estimate the amount of hidden messages exactly. Experimental results show that for raw lossless compressed Images the new algorithm has a better performance than the RS analysis method and improves the computation speed significantly.

L. Tsekov - One of the best experts on this subject based on the ideXlab platform.

Jonguk Choi - One of the best experts on this subject based on the ideXlab platform.

  • a reversible watermarking based on Histogram shifting
    Lecture Notes in Computer Science, 2006
    Co-Authors: Jinha Hwang, Jonguk Choi
    Abstract:

    In this paper, we propose a reversible watermarking algorithm where an original Image can be recovered from watermarked Image data. Most watermarking algorithms cause degradation of Image quality in original digital content in the process of embedding watermark. In the proposed algorithm, the original Image can be obtained when the degradation is removed from the watermarked Image after extracting watermark information. In the proposed algorithm, we utilize a peak point of Image Histogram and the location map and modify pixel values slightly to embed data. Because the peak point of Image Histogram and location map are employed in this algorithm, there is no need of extra information transmitted to receiving side. Also, because a slight modification on pixel values is conducted, highly imperceptibly Images can be achieved. As locations of watermark embedding are identified using location map, amount of watermark data can dramatically increases through recursive embedding. Experimental results show that it can embed 5K to 130K bits of additional data.

Plamen Iliev - One of the best experts on this subject based on the ideXlab platform.