Reversible data hiding in encrypted images based on IWT and chaotic system

加密 计算机科学 争先恐后 信息隐藏 有效载荷(计算) 序列(生物学) 算法 图像(数学) 混乱的 无损压缩 小波 人工智能 计算机视觉
作者
Lingzhuang Meng,Lianshan Liu,Xiaoli Wang,Gang Tian
出处
期刊:Multimedia Tools and Applications [Springer Science+Business Media]
标识
DOI:10.1007/s11042-022-12415-z
摘要

In this paper, a reversible data hiding in encrypted image (RDH-EI) algorithm based on integer wavelet transform (IWT) and chaotic system was proposed. The image decrypted and the extracted data by the algorithm were both lossless. In this scheme, IWT transform was used to decompose the carrier image into wavelet components, and the chaotic system was used to generate position sequence, encryption sequence and scrambling sequence, which were used for data hiding and image encryption. The secret data was hidden in the diagonal component according to the position sequence, and the approximate component was encrypted according to the encryption sequence and the scrambling sequence, and then the final encrypted image was obtained. A solution was proposed to solve the problem of pixel loss in the reconstruction process after the wavelet component is encrypted. The key used to decrypt the image and extract the secret information was divided into two parts for different levels of security considerations. The method of encrypting image after data hiding made the solution more secure and with higher maximum payload. Simulation results showed that, compared with some existing schemes, this scheme could obtain better performance, which including higher embedding rate, visual quality of decrypted and extracted images, and anti-attack performance.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
CodeCraft应助ZHEN采纳,获得10
刚刚
阳光颤发布了新的文献求助10
刚刚
2秒前
无糖果粒橙应助柑橘乌云采纳,获得10
2秒前
秀秀发布了新的文献求助10
2秒前
march发布了新的文献求助10
3秒前
大知闲闲应助危机的羽毛采纳,获得10
3秒前
4秒前
tx应助芸栖采纳,获得10
4秒前
4秒前
tx应助芸栖采纳,获得10
4秒前
tx应助芸栖采纳,获得10
4秒前
4秒前
6秒前
吴糖完成签到,获得积分10
7秒前
佳妮发布了新的文献求助30
7秒前
晨烨完成签到,获得积分10
8秒前
8秒前
8秒前
8秒前
危机的晓亦完成签到,获得积分20
9秒前
LLLLLucky完成签到,获得积分20
9秒前
9秒前
ZZZ发布了新的文献求助10
10秒前
充电宝应助天真的迎天采纳,获得10
10秒前
10秒前
刘明生发布了新的文献求助10
11秒前
11秒前
ZHEN完成签到,获得积分10
11秒前
11秒前
12秒前
科研通AI2S应助哈哈哈采纳,获得10
12秒前
AAA智慧批发纳西妲完成签到,获得积分10
14秒前
15秒前
15秒前
花木兰完成签到,获得积分20
16秒前
alice发布了新的文献求助10
16秒前
qi完成签到 ,获得积分10
18秒前
李小子发布了新的文献求助10
18秒前
Ava应助神勇的映真采纳,获得10
18秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Blackwell's five-minute veterinary consult clinical companion: small animal gastrointestinal diseases 500
Data book on fatigue strength of metallic materials 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7563094
求助须知:如何正确求助?哪些是违规求助? 9143804
关于积分的说明 19550332
捐赠科研通 7150840
什么是DOI,文献DOI怎么找? 3262369
关于科研通互助平台的介绍 2428608
邀请新用户注册赠送积分活动 2251925