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Histogram Shift Steganography: A Technique to Thwart Histogram Based Steganalysis
2009 Second International Workshop on Computer Science and Engineering, 2009We present an image steganographic technique to preserve the first-order and the second-order statistics of the host image. Experimental results show that the proposed method can preserve the image quality and also resists typical statistical analysis based attacks.
Yalda Mohsenzadeh +2 more
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Projection-histograms for mean-shift tracking
2010 IEEE International Conference on Image Processing, 2010This paper proposes an extension to the mean shift tracking by using XY projection-histograms to medel the object. More than providing statistical information about the target to track, they embed information about the spatial arrangement of pixels. This approach, without any complexity increase, provides a better robustness and quality of the tracking.
Michele Gouiffes +2 more
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Histogram-shifting-imitated reversible data hiding
Journal of Systems and Software, 2013Highlights? A novel data hiding scheme with reversibility. ? Simple pixel-shifting mapping to perform the embedding and extracting processes. ? An effective multiple-layer embedding without loss in image fidelity. This paper proposes a novel reversible data hiding scheme based on the histogram-shifting-imitated approach.
Zhi-Hui Wang +2 more
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Reversible data hiding based on two-dimensional histogram and generalized histogram shifting
2014 IEEE International Conference on Image Processing (ICIP), 2014In this paper, we propose a reversible data hiding (RDH) method based on a two-dimensional (2D) histogram and generalized histogram shifting (GHS). First, a cover image is decomposed into wavelet subbands using the integer-to-integer wavelet transform (I2I-WT).
Kazuki Yamato +3 more
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Reversible watermarking based on generalized histogram shifting
2011 18th IEEE International Conference on Image Processing, 2011This paper proposes a generalization of the well-known histogram shifting method for reversible watermarking. Binary watermark source is converted into a non-binary source that produces symbols from an alphabet of n (n>2) symbols. A technique similar to that of generalized least significant bit (GLSB) is used to transform watermark; therefore ...
Mohammad Arabzadeh +3 more
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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
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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.
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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.
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Improved histogram bin shifting based reversible watermarking
2013 International Conference on Intelligent Systems and Signal Processing (ISSP), 2013Reversible w atermarking constitutes a class of fragile digital watermarking techniques that find application in authentication of medical and military imagery. Reversible watermarking techniques ensure that after watermark extraction, the original cover image can be recovered from the watermarked image pixel-by-pixel. In this paper, we propose a novel
P. Nagarju, R. Naskar, R. S. Chakraborty
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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.
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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.
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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
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