The Experts below are selected from a list of 17070 Experts worldwide ranked by ideXlab platform

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

  • Invariant image watermarking based on statistical features in the low-frequency domain
    IEEE Transactions on Circuits and Systems for Video Technology, 2008
    Co-Authors: Shijun Xiang, Hyoung Joong Kim
    Abstract:

    Watermark resistance to geometric attacks is an important issue in the image watermarking community. Most countermeasures proposed in the literature usually focus on the problem of global affine transforms such as rotation, scaling and translation (RST), but few are resistant to challenging cropping and random bending attacks (RBAs). The main reason is that in the existing watermarking algorithms, those exploited robust features are more or less related to the Pixel Position. In this paper, we present an image watermarking scheme by the use of two statistical features (the histogram shape and the mean) in the Gaussian filtered low-frequency component of images. The two features are: 1) mathematically invariant to scaling the size of images; 2) independent of the Pixel Position in the image plane; 3)statistically resistant to cropping; and 4) robust to interpolation errors during geometric transformations, and common image processing operations. As a result, the watermarking system provides a satisfactory performance for those content-preserving geometric deformations and image processing operations, including JPEG compression, lowpass filtering, cropping and RBAs.

G. Pitchammal - One of the best experts on this subject based on the ideXlab platform.

  • Multilayer image watermarking scheme for providing high security
    arXiv: Cryptography and Security, 2012
    Co-Authors: J. Veerappan, G. Pitchammal
    Abstract:

    The main theme of this application is to provide an algorithm color image watermark to manage the attacks such as rotation, scaling and translation. In the existing watermarking algorithms, those exploited robust features are more or less related to the Pixel Position, so they cannot be more robust against the attacks. In order to solve this problem this application focus on certain parameters rather than the Pixel Position for watermarking. Two statistical features such as the histogram shape and the mean of Gaussian filtered low-frequency component of images are taken for this proposed application to make the watermarking algorithm robust to attacks and also AES technique is used to provide higher security.

  • Geometric Attack Resistant Image Watermarking Scheme for Providing High
    2012
    Co-Authors: J. Veerappan, G. Pitchammal
    Abstract:

    The main theme of this application is to provide an algorithm color image watermark to manage the scaling and translation. In the existing watermarki ng algorithms, those exploited robust features are more or less related to Pixel Position, so they cannot be more robust again st the attacks. In order to solve this problem t parameters rather than the Pixel Position for water marking. Two statistical features such as the histo gram shape and the mean Gaussian filtered low-frequency component of images are taken for this pr oposed application to algorithm robust to attacks and also interpolation technique is used to increase the number of bites t o be needed

  • Interpolation based image watermarking resisting to geometrical attacks
    International Conference on Pattern Recognition Informatics and Medical Engineering (PRIME-2012), 2012
    Co-Authors: J. Veerappan, G. Pitchammal
    Abstract:

    The main theme of this application is to provide an algorithm for grayscale and color image watermark to manage the attacks such as rotation, scaling and translation. In the existing watermarking algorithms, those exploited robust features are more or less related to the Pixel Position, so they cannot be more robust against the attacks. In order to solve this problem this application focus on certain parameters rather than the Pixel Position for watermarking. Two statistical features such as the histogram shape and the mean of Gaussian filtered low-frequency component of images are taken for this proposed application to make the watermarking algorithm robust to attacks and also interpolation technique is used to increase the number of bites to be needed.

  • Interpolation based Invariant Image Watermarking Resisting to Geometrical Attacks
    Digital Image Processing, 2012
    Co-Authors: Veerappan, G. Pitchammal
    Abstract:

    The main theme of this application is to provide an algorithm for grayscale and color image watermark to manage the attacks such as rotation, scaling and translation. In the existing watermarking algorithms, those exploited robust features are more or less related to the Pixel Position, so they cannot be more robust against the attacks. In order to solve this problem this application focus on certain parameters rather than the Pixel Position for watermarking. Two statistical features such as the histogram shape and the mean of Gaussian filtered low-frequency component of images are taken for this proposed application to make the watermarking algorithm robust to attacks and also interpolation technique is used to increase the number of bites to be needed.

  • Interpolation Based Image Watermarking using Segmentation Resisting to Geometrical Attacks
    Procedia Engineering, 2012
    Co-Authors: J. Veerappan, G. Pitchammal
    Abstract:

    Abstract The main theme of this application is to provide an algorithm for grayscale and color image watermark to manage the attacks such as rotation, scaling and translation. In the existing watermarking algorithms, those exploited robust features are more or less related to the Pixel Position, so they cannot be more robust against the attacks. In order to solve this problem this application focus on certain parameters rather than the Pixel Position for watermarking. Two statistical features such as the histogram shape and the mean of Gaussian filtered low-frequency component of images are taken for this proposed application to make the watermarking algorithm robust to attacks and Segmentation is used to provide high security and also interpolation technique is used to increase the number of bites to be needed.

Shijun Xiang - One of the best experts on this subject based on the ideXlab platform.

  • Invariant image watermarking based on statistical features in the low-frequency domain
    IEEE Transactions on Circuits and Systems for Video Technology, 2008
    Co-Authors: Shijun Xiang, Hyoung Joong Kim
    Abstract:

    Watermark resistance to geometric attacks is an important issue in the image watermarking community. Most countermeasures proposed in the literature usually focus on the problem of global affine transforms such as rotation, scaling and translation (RST), but few are resistant to challenging cropping and random bending attacks (RBAs). The main reason is that in the existing watermarking algorithms, those exploited robust features are more or less related to the Pixel Position. In this paper, we present an image watermarking scheme by the use of two statistical features (the histogram shape and the mean) in the Gaussian filtered low-frequency component of images. The two features are: 1) mathematically invariant to scaling the size of images; 2) independent of the Pixel Position in the image plane; 3)statistically resistant to cropping; and 4) robust to interpolation errors during geometric transformations, and common image processing operations. As a result, the watermarking system provides a satisfactory performance for those content-preserving geometric deformations and image processing operations, including JPEG compression, lowpass filtering, cropping and RBAs.

J. Veerappan - One of the best experts on this subject based on the ideXlab platform.

  • Multilayer image watermarking scheme for providing high security
    arXiv: Cryptography and Security, 2012
    Co-Authors: J. Veerappan, G. Pitchammal
    Abstract:

    The main theme of this application is to provide an algorithm color image watermark to manage the attacks such as rotation, scaling and translation. In the existing watermarking algorithms, those exploited robust features are more or less related to the Pixel Position, so they cannot be more robust against the attacks. In order to solve this problem this application focus on certain parameters rather than the Pixel Position for watermarking. Two statistical features such as the histogram shape and the mean of Gaussian filtered low-frequency component of images are taken for this proposed application to make the watermarking algorithm robust to attacks and also AES technique is used to provide higher security.

  • Geometric Attack Resistant Image Watermarking Scheme for Providing High
    2012
    Co-Authors: J. Veerappan, G. Pitchammal
    Abstract:

    The main theme of this application is to provide an algorithm color image watermark to manage the scaling and translation. In the existing watermarki ng algorithms, those exploited robust features are more or less related to Pixel Position, so they cannot be more robust again st the attacks. In order to solve this problem t parameters rather than the Pixel Position for water marking. Two statistical features such as the histo gram shape and the mean Gaussian filtered low-frequency component of images are taken for this pr oposed application to algorithm robust to attacks and also interpolation technique is used to increase the number of bites t o be needed

  • Interpolation based image watermarking resisting to geometrical attacks
    International Conference on Pattern Recognition Informatics and Medical Engineering (PRIME-2012), 2012
    Co-Authors: J. Veerappan, G. Pitchammal
    Abstract:

    The main theme of this application is to provide an algorithm for grayscale and color image watermark to manage the attacks such as rotation, scaling and translation. In the existing watermarking algorithms, those exploited robust features are more or less related to the Pixel Position, so they cannot be more robust against the attacks. In order to solve this problem this application focus on certain parameters rather than the Pixel Position for watermarking. Two statistical features such as the histogram shape and the mean of Gaussian filtered low-frequency component of images are taken for this proposed application to make the watermarking algorithm robust to attacks and also interpolation technique is used to increase the number of bites to be needed.

  • Interpolation Based Image Watermarking using Segmentation Resisting to Geometrical Attacks
    Procedia Engineering, 2012
    Co-Authors: J. Veerappan, G. Pitchammal
    Abstract:

    Abstract The main theme of this application is to provide an algorithm for grayscale and color image watermark to manage the attacks such as rotation, scaling and translation. In the existing watermarking algorithms, those exploited robust features are more or less related to the Pixel Position, so they cannot be more robust against the attacks. In order to solve this problem this application focus on certain parameters rather than the Pixel Position for watermarking. Two statistical features such as the histogram shape and the mean of Gaussian filtered low-frequency component of images are taken for this proposed application to make the watermarking algorithm robust to attacks and Segmentation is used to provide high security and also interpolation technique is used to increase the number of bites to be needed.

Ramon F. Hanssen - One of the best experts on this subject based on the ideXlab platform.

  • On the influence of sub-Pixel Position correction for PS localization accuracy and time series quality
    ISPRS Journal of Photogrammetry and Remote Sensing, 2020
    Co-Authors: Mengshi Yang, Prabu Dheenathayalan, Paco Lopez-dekker, Freek Van Leijen, Mingsheng Liao, Ramon F. Hanssen
    Abstract:

    Abstract Persistent Scatterer Interferometry (PSI) is a time series remote sensing technique to estimate displacements of geo-objects from the interferometric phases of selected Persistent Scatterers (PS). The relative Position of a scatterer within a resolution cell causes an additional phase contribution in the observed phase, which needs to be accounted for in PSI processing. Here we analyze the influence of this sub-Pixel Position correction on point localization and displacement quality. Apart from a theoretical evaluation, we perform experiments with TerraSAR-X, Radarsat-2, and Sentinel-1, demonstrating various levels of improvement. We show that the influence of the sub-Pixel correction is significant for the geolocation of the scatterer (meter-level improvement), modest for the elevation estimation (centimeter-level improvement), and limited for the displacement estimation (submillimeter-level). For displacement velocities, we find variations of a few tenths of a millimeter per year. The effect of sub-Pixel correction is most dominant for large orbital baselines and short time series.