Multi-watermarking Algorithm for Medical Image Based on NSCT-RDWT-DCT

数字水印 离散余弦变换 计算机科学 离散小波变换 人工智能 图像(数学) 隐身 计算机视觉 算法 小波变换 模式识别(心理学) 小波 轮廓波
作者
Jingjun Zhou,Jingbing Li,Hui Li,Jing Liu,Jialing Liu,Qianning Dai,Saqib Ali Nawaz
出处
期刊:Lecture Notes in Computer Science 卷期号:: 501-515 被引量:3
标识
DOI:10.1007/978-3-030-37337-5_41
摘要

With the rapid development of medical imaging technology, digital information systems have become more and more important. However, medical images are vulnerable to be attacked or malicious tampered during transmission. Medical image watermarking algorithm using wavelet transform can solve the above problems and has been widely used in recent years. But due to its poor resistance to geometric attacks, the security of medical images cannot be guaranteed. In this work, a medical image multi-watermarking algorithm based on NSCT-RDWT-DCT is proposed. First, a more robust feature vector of medical image is extracted by combining non-subsampled contour transform (NSCT), redundant discrete wavelet transform (RDWT) and discrete cosine transform (DCT) to resist geometric attacks. Then, zero watermarking technology is adopted to embed and extract watermarks considering the capacity and invisibility of the medical image. Moreover, Arnold Cat Map is applied to enhance the security of the watermarks information. The experimental results show that the proposed algorithm can effectively extract the watermarked information. Compared with the existing algorithms, it has good performance against both conventional attacks and geometric attacks.
最长约 10秒,即可获得该文献文件

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
xwz发布了新的文献求助10
刚刚
1秒前
月yue发布了新的文献求助10
2秒前
allanqiao发布了新的文献求助10
3秒前
3秒前
KIORking发布了新的文献求助10
6秒前
潮汐发布了新的文献求助10
6秒前
英俊剑鬼完成签到,获得积分10
6秒前
lxrong完成签到,获得积分10
6秒前
小旋风发布了新的文献求助10
7秒前
10秒前
冷酷剑身关注了科研通微信公众号
10秒前
深情安青应助yangbin710采纳,获得10
13秒前
KIORking完成签到,获得积分10
13秒前
小旋风完成签到,获得积分10
14秒前
14秒前
领导范儿应助song采纳,获得10
15秒前
shanmao完成签到 ,获得积分10
15秒前
可爱的函函应助月yue采纳,获得10
15秒前
mint完成签到,获得积分10
16秒前
烟花应助zzrg采纳,获得10
18秒前
19秒前
iNk应助科研混子采纳,获得20
20秒前
深情安青应助潮汐采纳,获得10
21秒前
莫休发布了新的文献求助40
22秒前
fuhe发布了新的文献求助10
24秒前
故酒应助布响氪盐辣采纳,获得20
26秒前
27秒前
27秒前
清脆的夜白完成签到 ,获得积分10
28秒前
xie发布了新的文献求助10
32秒前
魏凡之完成签到,获得积分10
34秒前
34秒前
bkagyin应助haosifan采纳,获得10
34秒前
36秒前
36秒前
37秒前
冰冰完成签到,获得积分20
39秒前
39秒前
潇洒发夹发布了新的文献求助10
40秒前
高分求助中
Technologies supporting mass customization of apparel: A pilot project 600
武汉作战 石川达三 500
Arthur Ewert: A Life for the Comintern 500
China's Relations With Japan 1945-83: The Role of Liao Chengzhi // Kurt Werner Radtke 500
Two Years in Peking 1965-1966: Book 1: Living and Teaching in Mao's China // Reginald Hunt 500
Understanding Interaction in the Second Language Classroom Context 300
Fractional flow reserve- and intravascular ultrasound-guided strategies for intermediate coronary stenosis and low lesion complexity in patients with or without diabetes: a post hoc analysis of the randomised FLAVOUR trial 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3810381
求助须知:如何正确求助?哪些是违规求助? 3354913
关于积分的说明 10373163
捐赠科研通 3071434
什么是DOI,文献DOI怎么找? 1686904
邀请新用户注册赠送积分活动 811304
科研通“疑难数据库(出版商)”最低求助积分说明 766591