Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

An adaptive threshold based data hiding scheme on colour images

An adaptive threshold based data hiding scheme on colour images This paper presents a data hiding scheme based on difference expansion (DE), including an adaptive threshold for color images. This is seen that the different layers, Red, Green and Blue behaves differently. So, to get the best possible outcome in the contest of visual distortion and embedding capacity, an optimum data hiding model is proposed in this paper. The image parameters, namely, peak signal to noise ratio (PSNR), payload capacity, and structural similarity index measure (SSIM), are used to calculate the optimum threshold value to obtain an acceptable visual quality embedded image. Also, the genetic algorithm is used to get the optimum threshold value. Simulation verification using MATLAB R2018a of three color images demonstrated that the optimum threshold values are 13, 10 and 8 for Baboon, Lena and Rainbow images, respectively. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Signal and Imaging Systems Engineering Inderscience Publishers

An adaptive threshold based data hiding scheme on colour images

Loading next page...
 
/lp/inderscience-publishers/an-adaptive-threshold-based-data-hiding-scheme-on-colour-images-0HnxMY4Oqp

References

References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.

Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd
ISSN
1748-0698
eISSN
1748-0701
DOI
10.1504/IJSISE.2021.117920
Publisher site
See Article on Publisher Site

Abstract

This paper presents a data hiding scheme based on difference expansion (DE), including an adaptive threshold for color images. This is seen that the different layers, Red, Green and Blue behaves differently. So, to get the best possible outcome in the contest of visual distortion and embedding capacity, an optimum data hiding model is proposed in this paper. The image parameters, namely, peak signal to noise ratio (PSNR), payload capacity, and structural similarity index measure (SSIM), are used to calculate the optimum threshold value to obtain an acceptable visual quality embedded image. Also, the genetic algorithm is used to get the optimum threshold value. Simulation verification using MATLAB R2018a of three color images demonstrated that the optimum threshold values are 13, 10 and 8 for Baboon, Lena and Rainbow images, respectively.

Journal

International Journal of Signal and Imaging Systems EngineeringInderscience Publishers

Published: Jan 1, 2021

There are no references for this article.