Steganographic method based on wavelets and center weighted median filter

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

In this paper, we present a robust steganographic method for hidden information in the wavelet domain. The proposed method uses the Iterative Center Weighted Median (ICWM) algorithm to estimate the noisy areas of an RGB image. We propose to use the noisy pixels or areas as places to hidden information to provide good invisibility and fine detail preservation of processed images. The proposed method consistently identifies if the wavelets coefficients of an image contains noisy or not, this algorithm works with variances and standard deviations of the same wavelet coefficients of image.

Original languageEnglish
Title of host publication2010 International Kharkov Symposium on Physics and Engineering of Microwaves, Millimeter and Submillimeter Waves, MSMW'2010
DOIs
StatePublished - 2010
Event2010 International Kharkov Symposium on Physics and Engineering of Microwaves, Millimeter and Submillimeter Waves, MSMW'2010 - Kharkov, Ukraine
Duration: 21 Jun 201026 Jun 2010

Publication series

Name2010 International Kharkov Symposium on Physics and Engineering of Microwaves, Millimeter and Submillimeter Waves, MSMW'2010

Conference

Conference2010 International Kharkov Symposium on Physics and Engineering of Microwaves, Millimeter and Submillimeter Waves, MSMW'2010
Country/TerritoryUkraine
CityKharkov
Period21/06/1026/06/10

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