The Experts below are selected from a list of 1605 Experts worldwide ranked by ideXlab platform

Keeyoung Yoo - One of the best experts on this subject based on the ideXlab platform.

  • A New (n, n)-threshold Reversible Secret Image Sharing Using Histogram Shifting
    International Journal of Security and Its Applications, 2015
    Co-Authors: Gilje Lee, Daesoo Kim, Keeyoung Yoo
    Abstract:

    In this paper, we propose a (n, n)-threshold reversible secret image sharing scheme using Histogram Shifting. Unlike Shamir’s secret sharing, the proposed scheme does not use a polynomial. In the secret image sharing procedure, a Histogram is generated by the difference value between the original and copy images. And, the secret image is embedded into original and copy images by using Histogram Shifting. Lastly, generated shadow images are distributed to each participant. In the experimental results, we measure embedding capacity of secret image and a distortion ratio between original and shadow images. The experimental results show that the embedding capacity and image distortion ratio of the proposed scheme are superior to the previous schemes.

  • Improved Histogram-Shifting-Imitated Reversible Data Hiding Scheme
    2015 12th International Conference on Information Technology - New Generations, 2015
    Co-Authors: Pyung-han Kim, Daesoo Kim, Keeyoung Yoo
    Abstract:

    Wang et al. proposed a Histogram Shifting imitation based reversible data hiding scheme in 2013. They used the peak points of image intensity-based segments, instead of utilizing the peak point of an Histogram. Their scheme has the limitation of the embedding capacity due to the embedding method. In this paper, we propose an improved data hiding scheme using median edge detection (MED) and hexadecimal exploiting modification direction (EMD). In embedding procedure, a predicted image is generated by using MED. The secret data is embedded into the peak points in segments by using hexadecimal EMD. In experimental results, the embedding capacity of the proposed scheme is superior to that of Wang et al.

  • a reversible data hiding scheme based on Histogram Shifting using edge direction predictor
    Research in Adaptive and Convergent Systems, 2014
    Co-Authors: Daesoo Kim, Gilje Lee, Keeyoung Yoo
    Abstract:

    In this paper, we propose a novel reversible data hiding scheme based on Histogram Shifting using edge direction (ED) predictor. The ED predictor utilizes direction of adjusted pixels. Because of reversible character, existing predictor methods don't use all of cases edge direction. However, all of cases edge direction are used in ED predictor. In the proposed scheme, embedding and extraction procedures are classified by odd column and even column to use around adjusted pixels. In our experimental results, the hiding capacity of the proposed scheme is superior to other schemes. The image quality of the proposed scheme is similar or better than other schemes.

  • reversible secret image sharing scheme using Histogram Shifting and difference expansion
    Journal of Korea Multimedia Society, 2014
    Co-Authors: B H Jeon, Gilje Lee, Keechul Jung, Keeyoung Yoo
    Abstract:

    In this paper, we propose a (2,2)-reversible secret image sharing scheme using Histogram Shifting and difference expansion. Two techniques are widely used in information hiding. Advantages of them are the low distortion between cover and stego images, and high embedding capacity. In secret image sharing procedure, unlike Shamir`s secret sharing, a Histogram generate that the difference value between the original image and copy image is computed by difference expansion. And then, the secret image is embedded into original and copy images by using Histogram Shifting. Lastly, two generated shadow images are distributed to each participant by the dealer. In the experimental results, we measure a capacity of a secret image and a distortion ratio between original image and shadow image. The results show that the embedding capacity and image distortion ratio of the proposed scheme are superior to the previous schemes.

  • reversible image hiding scheme for high quality based on Histogram Shifting
    International Conference on Information Technology: New Generations, 2013
    Co-Authors: Daesoo Kim, Gilje Lee, Keeyoung Yoo
    Abstract:

    In 2006, Ni et al. proposed reversible image hiding scheme using Histogram Shifting. Their scheme modified the pixel values of the cover-image between the peak point and the zero point in the Histogram. PSNR of almost every Histogram Shifting based methods was about 48dB because many pixels that don't hide the secret data was modified. In this paper, to the higher hiding capacity and image quality improved Ni et al.'s scheme using Gradient-adjusted prediction (GAP) and modulo operation. In experimental results, the hiding capacity of the proposed scheme is superior to Ni et al.'s scheme. Also the image quality of the proposed scheme is increased by about 7 dB than Ni et al.'s scheme.

Xianming Liu - One of the best experts on this subject based on the ideXlab platform.

  • estimation of capacity parameters for dynamic Histogram Shifting dhs based reversible image watermarking
    International Conference on Multimedia and Expo, 2014
    Co-Authors: Li Dong, Jiantao Zhou, Yuan Yan Tang, Xianming Liu
    Abstract:

    Dynamic Histogram Shifting (DHS) is a generation of the conventional Histogram Shifting (HS) technique for reversible image watermarking. Its superior embedding performance is achieved at the cost of significantly increased computational burden incurred by estimating the capacity parameters via multi-rounds of embedding iterations. In this work, we propose an analytical framework on estimating the optimal capacity parameters for DHS-based reversible image watermarking. We demonstrate that such parameter estimation can be cast as a convex optimization problem, which can be numerically solved in an efficient manner. The estimated values can then be utilized to facilitate a local search algorithm to obtain the truly optimal ones with much lowered complexity. Experimental results are provided to verify the validity of our findings.

  • ICME - Estimation of capacity parameters for dynamic Histogram Shifting (DHS)-based reversible image watermarking
    2014 IEEE International Conference on Multimedia and Expo (ICME), 2014
    Co-Authors: Li Dong, Jiantao Zhou, Yuan Yan Tang, Xianming Liu
    Abstract:

    Dynamic Histogram Shifting (DHS) is a generation of the conventional Histogram Shifting (HS) technique for reversible image watermarking. Its superior embedding performance is achieved at the cost of significantly increased computational burden incurred by estimating the capacity parameters via multi-rounds of embedding iterations. In this work, we propose an analytical framework on estimating the optimal capacity parameters for DHS-based reversible image watermarking. We demonstrate that such parameter estimation can be cast as a convex optimization problem, which can be numerically solved in an efficient manner. The estimated values can then be utilized to facilitate a local search algorithm to obtain the truly optimal ones with much lowered complexity. Experimental results are provided to verify the validity of our findings.

Li Dong - One of the best experts on this subject based on the ideXlab platform.

  • estimation of capacity parameters for dynamic Histogram Shifting dhs based reversible image watermarking
    International Conference on Multimedia and Expo, 2014
    Co-Authors: Li Dong, Jiantao Zhou, Yuan Yan Tang, Xianming Liu
    Abstract:

    Dynamic Histogram Shifting (DHS) is a generation of the conventional Histogram Shifting (HS) technique for reversible image watermarking. Its superior embedding performance is achieved at the cost of significantly increased computational burden incurred by estimating the capacity parameters via multi-rounds of embedding iterations. In this work, we propose an analytical framework on estimating the optimal capacity parameters for DHS-based reversible image watermarking. We demonstrate that such parameter estimation can be cast as a convex optimization problem, which can be numerically solved in an efficient manner. The estimated values can then be utilized to facilitate a local search algorithm to obtain the truly optimal ones with much lowered complexity. Experimental results are provided to verify the validity of our findings.

  • ICME - Estimation of capacity parameters for dynamic Histogram Shifting (DHS)-based reversible image watermarking
    2014 IEEE International Conference on Multimedia and Expo (ICME), 2014
    Co-Authors: Li Dong, Jiantao Zhou, Yuan Yan Tang, Xianming Liu
    Abstract:

    Dynamic Histogram Shifting (DHS) is a generation of the conventional Histogram Shifting (HS) technique for reversible image watermarking. Its superior embedding performance is achieved at the cost of significantly increased computational burden incurred by estimating the capacity parameters via multi-rounds of embedding iterations. In this work, we propose an analytical framework on estimating the optimal capacity parameters for DHS-based reversible image watermarking. We demonstrate that such parameter estimation can be cast as a convex optimization problem, which can be numerically solved in an efficient manner. The estimated values can then be utilized to facilitate a local search algorithm to obtain the truly optimal ones with much lowered complexity. Experimental results are provided to verify the validity of our findings.

Gilje Lee - One of the best experts on this subject based on the ideXlab platform.

  • A New (n, n)-threshold Reversible Secret Image Sharing Using Histogram Shifting
    International Journal of Security and Its Applications, 2015
    Co-Authors: Gilje Lee, Daesoo Kim, Keeyoung Yoo
    Abstract:

    In this paper, we propose a (n, n)-threshold reversible secret image sharing scheme using Histogram Shifting. Unlike Shamir’s secret sharing, the proposed scheme does not use a polynomial. In the secret image sharing procedure, a Histogram is generated by the difference value between the original and copy images. And, the secret image is embedded into original and copy images by using Histogram Shifting. Lastly, generated shadow images are distributed to each participant. In the experimental results, we measure embedding capacity of secret image and a distortion ratio between original and shadow images. The experimental results show that the embedding capacity and image distortion ratio of the proposed scheme are superior to the previous schemes.

  • a reversible data hiding scheme based on Histogram Shifting using edge direction predictor
    Research in Adaptive and Convergent Systems, 2014
    Co-Authors: Daesoo Kim, Gilje Lee, Keeyoung Yoo
    Abstract:

    In this paper, we propose a novel reversible data hiding scheme based on Histogram Shifting using edge direction (ED) predictor. The ED predictor utilizes direction of adjusted pixels. Because of reversible character, existing predictor methods don't use all of cases edge direction. However, all of cases edge direction are used in ED predictor. In the proposed scheme, embedding and extraction procedures are classified by odd column and even column to use around adjusted pixels. In our experimental results, the hiding capacity of the proposed scheme is superior to other schemes. The image quality of the proposed scheme is similar or better than other schemes.

  • reversible secret image sharing scheme using Histogram Shifting and difference expansion
    Journal of Korea Multimedia Society, 2014
    Co-Authors: B H Jeon, Gilje Lee, Keechul Jung, Keeyoung Yoo
    Abstract:

    In this paper, we propose a (2,2)-reversible secret image sharing scheme using Histogram Shifting and difference expansion. Two techniques are widely used in information hiding. Advantages of them are the low distortion between cover and stego images, and high embedding capacity. In secret image sharing procedure, unlike Shamir`s secret sharing, a Histogram generate that the difference value between the original image and copy image is computed by difference expansion. And then, the secret image is embedded into original and copy images by using Histogram Shifting. Lastly, two generated shadow images are distributed to each participant by the dealer. In the experimental results, we measure a capacity of a secret image and a distortion ratio between original image and shadow image. The results show that the embedding capacity and image distortion ratio of the proposed scheme are superior to the previous schemes.

  • reversible image hiding scheme for high quality based on Histogram Shifting
    International Conference on Information Technology: New Generations, 2013
    Co-Authors: Daesoo Kim, Gilje Lee, Keeyoung Yoo
    Abstract:

    In 2006, Ni et al. proposed reversible image hiding scheme using Histogram Shifting. Their scheme modified the pixel values of the cover-image between the peak point and the zero point in the Histogram. PSNR of almost every Histogram Shifting based methods was about 48dB because many pixels that don't hide the secret data was modified. In this paper, to the higher hiding capacity and image quality improved Ni et al.'s scheme using Gradient-adjusted prediction (GAP) and modulo operation. In experimental results, the hiding capacity of the proposed scheme is superior to Ni et al.'s scheme. Also the image quality of the proposed scheme is increased by about 7 dB than Ni et al.'s scheme.

  • ITNG - Reversible Image Hiding Scheme for High Quality Based on Histogram Shifting
    2013 10th International Conference on Information Technology: New Generations, 2013
    Co-Authors: Daesoo Kim, Gilje Lee, Keeyoung Yoo
    Abstract:

    In 2006, Ni et al. proposed reversible image hiding scheme using Histogram Shifting. Their scheme modified the pixel values of the cover-image between the peak point and the zero point in the Histogram. PSNR of almost every Histogram Shifting based methods was about 48dB because many pixels that don't hide the secret data was modified. In this paper, to the higher hiding capacity and image quality improved Ni et al.'s scheme using Gradient-adjusted prediction (GAP) and modulo operation. In experimental results, the hiding capacity of the proposed scheme is superior to Ni et al.'s scheme. Also the image quality of the proposed scheme is increased by about 7 dB than Ni et al.'s scheme.

Daesoo Kim - One of the best experts on this subject based on the ideXlab platform.

  • A New (n, n)-threshold Reversible Secret Image Sharing Using Histogram Shifting
    International Journal of Security and Its Applications, 2015
    Co-Authors: Gilje Lee, Daesoo Kim, Keeyoung Yoo
    Abstract:

    In this paper, we propose a (n, n)-threshold reversible secret image sharing scheme using Histogram Shifting. Unlike Shamir’s secret sharing, the proposed scheme does not use a polynomial. In the secret image sharing procedure, a Histogram is generated by the difference value between the original and copy images. And, the secret image is embedded into original and copy images by using Histogram Shifting. Lastly, generated shadow images are distributed to each participant. In the experimental results, we measure embedding capacity of secret image and a distortion ratio between original and shadow images. The experimental results show that the embedding capacity and image distortion ratio of the proposed scheme are superior to the previous schemes.

  • Improved Histogram-Shifting-Imitated Reversible Data Hiding Scheme
    2015 12th International Conference on Information Technology - New Generations, 2015
    Co-Authors: Pyung-han Kim, Daesoo Kim, Keeyoung Yoo
    Abstract:

    Wang et al. proposed a Histogram Shifting imitation based reversible data hiding scheme in 2013. They used the peak points of image intensity-based segments, instead of utilizing the peak point of an Histogram. Their scheme has the limitation of the embedding capacity due to the embedding method. In this paper, we propose an improved data hiding scheme using median edge detection (MED) and hexadecimal exploiting modification direction (EMD). In embedding procedure, a predicted image is generated by using MED. The secret data is embedded into the peak points in segments by using hexadecimal EMD. In experimental results, the embedding capacity of the proposed scheme is superior to that of Wang et al.

  • a reversible data hiding scheme based on Histogram Shifting using edge direction predictor
    Research in Adaptive and Convergent Systems, 2014
    Co-Authors: Daesoo Kim, Gilje Lee, Keeyoung Yoo
    Abstract:

    In this paper, we propose a novel reversible data hiding scheme based on Histogram Shifting using edge direction (ED) predictor. The ED predictor utilizes direction of adjusted pixels. Because of reversible character, existing predictor methods don't use all of cases edge direction. However, all of cases edge direction are used in ED predictor. In the proposed scheme, embedding and extraction procedures are classified by odd column and even column to use around adjusted pixels. In our experimental results, the hiding capacity of the proposed scheme is superior to other schemes. The image quality of the proposed scheme is similar or better than other schemes.

  • reversible image hiding scheme for high quality based on Histogram Shifting
    International Conference on Information Technology: New Generations, 2013
    Co-Authors: Daesoo Kim, Gilje Lee, Keeyoung Yoo
    Abstract:

    In 2006, Ni et al. proposed reversible image hiding scheme using Histogram Shifting. Their scheme modified the pixel values of the cover-image between the peak point and the zero point in the Histogram. PSNR of almost every Histogram Shifting based methods was about 48dB because many pixels that don't hide the secret data was modified. In this paper, to the higher hiding capacity and image quality improved Ni et al.'s scheme using Gradient-adjusted prediction (GAP) and modulo operation. In experimental results, the hiding capacity of the proposed scheme is superior to Ni et al.'s scheme. Also the image quality of the proposed scheme is increased by about 7 dB than Ni et al.'s scheme.

  • ITNG - Reversible Image Hiding Scheme for High Quality Based on Histogram Shifting
    2013 10th International Conference on Information Technology: New Generations, 2013
    Co-Authors: Daesoo Kim, Gilje Lee, Keeyoung Yoo
    Abstract:

    In 2006, Ni et al. proposed reversible image hiding scheme using Histogram Shifting. Their scheme modified the pixel values of the cover-image between the peak point and the zero point in the Histogram. PSNR of almost every Histogram Shifting based methods was about 48dB because many pixels that don't hide the secret data was modified. In this paper, to the higher hiding capacity and image quality improved Ni et al.'s scheme using Gradient-adjusted prediction (GAP) and modulo operation. In experimental results, the hiding capacity of the proposed scheme is superior to Ni et al.'s scheme. Also the image quality of the proposed scheme is increased by about 7 dB than Ni et al.'s scheme.