The Experts below are selected from a list of 6201 Experts worldwide ranked by ideXlab platform

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

  • reversible image watermarking using interpolation technique
    IEEE Transactions on Information Forensics and Security, 2010
    Co-Authors: Lixin Luo, Zhenyong Chen, Xiao Zeng, Ming Chen, Zhang Zhi-xiong
    Abstract:

    Watermarking embeds information into a digital signal like audio, image, or video. Reversible image watermarking can restore the original image without any distortion after the hidden data is extracted. In this paper, we present a novel reversible watermarking scheme using an interpolation technique, which can embed a large amount of covert data into images with imperceptible modification. Different from previous watermarking schemes, we utilize the interpolation-error, the difference between interpolation value and corresponding pixel value, to embed bit ?1? or ?0? by expanding it additively or leaving it unchanged. Due to the slight modification of pixels, high image quality is preserved. Experimental results also demonstrate that the proposed scheme can provide greater Payload Capacity and higher image fidelity compared with other state-of-the-art schemes.

Nienlin Hsueh - One of the best experts on this subject based on the ideXlab platform.

  • a lossless data hiding scheme based on three pixel block differences
    Pattern Recognition, 2008
    Co-Authors: Chingchiuan Lin, Nienlin Hsueh
    Abstract:

    This paper proposes a data hiding scheme that losslessly embeds a message into a cover image using the two differences-between the first and the second pixel as well as between the second and the third pixel-in a three-pixel block. In the cover image, an absolute difference between a pair of pixels is selected to embed the message if the number of pixel pairs with the difference in the image is the largest. To embed a bit ''1'' or ''0'', the selected difference is increased by 1 or left unchanged, respectively. In the best case, a three-pixel block can embed two bits ''11'' and only the central pixel needs to be increased or decreased by 1. The average Payload Capacity among the test images can be up to 2.08 bits per pixel (bpp).

Chin-chen Chang - One of the best experts on this subject based on the ideXlab platform.

  • a high Payload frequency based reversible image hiding method
    Information Sciences, 2010
    Co-Authors: Chin-chen Chang, Peiyan Pai, Chiaming Yeh, Yungkuan Chan
    Abstract:

    To provide both a high Payload Capacity and a good stego-image quality, a high Payload frequency-based reversible image hiding (HPFRIH) method was presented in this paper. These performances can be achieved by transforming a cover image from the spatial domain into the frequency domain through Haar digital wavelet transform (HDWT) method followed by an adaptive arithmetic coding method to encode the HDWT coefficients in a high-frequency band. The HPFRIH method was used to conceal both the compressed data and the secret data in the high-frequency band. This simple method can completely reconstruct the cover image only from the stego-image. Moreover, experimental results showed that the HPFRIH method offers both impressive hiding Capacity and satisfied stego-image quality.

  • a difference expansion oriented data hiding scheme for restoring the original host images
    Journal of Systems and Software, 2006
    Co-Authors: Chin-chen Chang
    Abstract:

    This paper proposes a lossless data embedding scheme that exploits the difference expansion of the pixels to conceal large amount of message data in a digital image. The proposed scheme takes into consideration the correlation between the pixel and its surrounding pixels to determine the degree of the difference expansion for message data embedding. The performance has been evaluated in terms of image distortion, Payload Capacity, as well as embedding rate. The experimental results show that the scheme is capable of providing a great Payload Capacity, and the image quality of the embedded image is better than that of Tian's and Celik's schemes for a gray-level image. What is more, for a color image, the proposed scheme outperforms Alattar's scheme at low PSNR. In addition, the proposed scheme can completely restore the original image after data extraction.

Lixin Luo - One of the best experts on this subject based on the ideXlab platform.

  • reversible image watermarking using interpolation technique
    IEEE Transactions on Information Forensics and Security, 2010
    Co-Authors: Lixin Luo, Zhenyong Chen, Xiao Zeng, Ming Chen, Zhang Zhi-xiong
    Abstract:

    Watermarking embeds information into a digital signal like audio, image, or video. Reversible image watermarking can restore the original image without any distortion after the hidden data is extracted. In this paper, we present a novel reversible watermarking scheme using an interpolation technique, which can embed a large amount of covert data into images with imperceptible modification. Different from previous watermarking schemes, we utilize the interpolation-error, the difference between interpolation value and corresponding pixel value, to embed bit ?1? or ?0? by expanding it additively or leaving it unchanged. Due to the slight modification of pixels, high image quality is preserved. Experimental results also demonstrate that the proposed scheme can provide greater Payload Capacity and higher image fidelity compared with other state-of-the-art schemes.

Chingchiuan Lin - One of the best experts on this subject based on the ideXlab platform.

  • a lossless data hiding scheme based on three pixel block differences
    Pattern Recognition, 2008
    Co-Authors: Chingchiuan Lin, Nienlin Hsueh
    Abstract:

    This paper proposes a data hiding scheme that losslessly embeds a message into a cover image using the two differences-between the first and the second pixel as well as between the second and the third pixel-in a three-pixel block. In the cover image, an absolute difference between a pair of pixels is selected to embed the message if the number of pixel pairs with the difference in the image is the largest. To embed a bit ''1'' or ''0'', the selected difference is increased by 1 or left unchanged, respectively. In the best case, a three-pixel block can embed two bits ''11'' and only the central pixel needs to be increased or decreased by 1. The average Payload Capacity among the test images can be up to 2.08 bits per pixel (bpp).