Results 251 to 260 of about 18,673 (292)
Some of the next articles are maybe not open access.
Mean shift tracking using fuzzy color histogram
2010 International Conference on Machine Learning and Cybernetics, 2010During recent years the subject of mean shift algorithm for object tracking using color information has received much attention. However the use of color information to characterize the tracked object is very sensitive to noisy interference and illumination changes.
Ming-Yi Ju +2 more
openaire +1 more source
A Reversible Watermarking Based on Histogram Shifting
2006In 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.
JinHa Hwang, Jong-Weon Kim, Jong-Uk Choi
openaire +1 more source
Reversible data hiding by alternate shifting of peaks in the histogram
Proceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia, 2010Recently the reversible data hiding technology has been discussed extensively because of its major characteristic which enables the exact reconstruction of image from watermarked image. In this paper, a high capacity and high quality reversible watermarking method based on alternate shifting of peaks in the histogram of the image has been described ...
Arijit Sur, Udit Singh
openaire +1 more source
Computer Physics Communications, 1980
Abstract A method which consists in shifting different histograms of the same spectrum and then taking their average is presented in order to smooth the data and to increase the localization accuracy and separation of the peaks. The statistical properties of this method are investigated.
openaire +1 more source
Abstract A method which consists in shifting different histograms of the same spectrum and then taking their average is presented in order to smooth the data and to increase the localization accuracy and separation of the peaks. The statistical properties of this method are investigated.
openaire +1 more source
WIREs Computational Statistics, 2010
AbstractThe averaged shifted histogram or ASH is a nonparametric probability density estimator derived from a collection of histograms. The ASH enjoys several advantages compared with a single histogram: better visual interpretation, better approximation, and nearly the same computational efficiency.
openaire +1 more source
AbstractThe averaged shifted histogram or ASH is a nonparametric probability density estimator derived from a collection of histograms. The ASH enjoys several advantages compared with a single histogram: better visual interpretation, better approximation, and nearly the same computational efficiency.
openaire +1 more source
Mean Shift tracking with multiple reference color histograms
Computer Vision and Image Understanding, 2010The Mean Shift tracker is a widely used tool for robustly and quickly tracking the location of an object in an image sequence using the object's color histogram. The reference histogram is typically set to that in the target region in the frame where the tracking is initiated.
Ido Leichter +2 more
openaire +1 more source
Reversible and robust image watermarking based on histogram shifting
Cluster Computing, 2018In reversible watermarking, robustness of the watermark and the perceptual quality of the recovered host image has a major impact on the watermarking method. The proposed method provides improvement in the embedding capacity and the perceptual quality with a better robustness.
R. Rajkumar, A. Vasuki
openaire +1 more source
Adaptive Histogram Shifting Based Reversible Data Hiding
2017Reversible data hiding (RDH) is a special kind of data hiding technique which can exactly recover the cover image from the stego image after extracting the hidden data. Recently, Wu et al. proposed a novel RDH method with contrast enhancement (RDH-CE).
Yonggwon Ri +3 more
openaire +1 more source
Reversible watermarking via histogram shifting and least square optimization
Proceedings of the 12th ACM workshop on Multimedia and security, 2010In this contribution a novel scheme for reversible watermarking of digital images is presented. It is based on the histogram shifting embedding method applied to the image prediction error. A least square weight optimization criteria-based prediction scheme, is proposed for reducing the prediction error thus improving the embedding performances while ...
Michele Muzzarelli +3 more
openaire +3 more sources
On Fitting Polynomials to Averaged Shifted Histograms
GSTF Journal of Mathematics, Statistics and Operations Research, 2014This paper proposes univariate and bivariate density estimation techniques whereby averaged shifted histograms are smoothed by means of polynomials. In the univariate case, the density estimate is obtained as a moment-based polynomial approximation to an averaged shifted histogram.
openaire +1 more source