Performance Evaluation of Modified Color Image Steganography Using Discrete Wavelet Transform

Author:

Kumar Vijay,Kumar Dinesh

Abstract

Abstract Steganography is the foremost influential approach to hide data. Images serve as the most appropriate cover media for steganography. This paper intends to do a performance evaluation of color images and its comparison with the recently proposed approaches, using the modified technique already proposed for grayscale images, by the authors. This approach hides large data in color image using the blocking concept. The blocking process is applied on approximation coefficients of secret image and detail coefficients of red, green and blue components of cover image. The blocks of detail coefficients are replaced with approximation coefficients of secret image using root mean square error method. The key is used to store the position of best matching blocks. It is being predicated that the work will be able to hide large data in a single image. The stego image (ST) has better visual quality based on the peak signal to noise ratio values.

Publisher

Walter de Gruyter GmbH

Subject

Artificial Intelligence,Information Systems,Software

Reference50 articles.

1. Hiding data in image by simple LSB substitution;Pattern Recognit.,2003

2. Adaptive pixel value differencing steganography using both vertical and horizontal edges;Multimed. Tools Appl.,2016

3. MEO based secured, robust, high capacity and perceptual quality image watermarking in DWT-SVD domain;SpringerPlus,2015

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. The main color structure setting of Chinese oil painting based on content analysis method;Applied Mathematics and Nonlinear Sciences;2023-10-09

2. Reversible data hiding in encrypted image using two-pass pixel value ordering;Journal of Information Security and Applications;2023-08

3. Robust watermarking using diffusion of logo into auto-encoder feature maps;Multimedia Tools and Applications;2023-04-28

4. W-VDSR: wavelet-based secure image transmission using machine learning VDSR neural network;Multimedia Tools and Applications;2023-04-06

5. Image-to-Image Steganography Using Encoder-Decoder Network;International Journal of Social Ecology and Sustainable Development;2022-10-21

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3