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Dual Image Reversible Data Hiding by Modifying Least Significant-Bit Matching Revisited Rules
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作者 Chi-Shiang Chan Chao-Liang Liu Yuan-Yu Tsai 《Journal of Electronic Science and Technology》 CAS CSCD 2017年第3期217-221,共5页
The concept of dual image reversible data hiding(DIRDH) is the technique that can produce two camouflage images after embedding secret data into one original image.Moreover,not only can the secret data be extracted ... The concept of dual image reversible data hiding(DIRDH) is the technique that can produce two camouflage images after embedding secret data into one original image.Moreover,not only can the secret data be extracted from two camouflage images but also the original image can be recovered.To achieve high image quality,Lu et al.'s method applied least-significant-bit(LSB) matching revisited to DIRDH.In order to further improve the image quality,the proposed method modifies LSB matching revisited rules and applies them to DIRDH.According to the experimental results,the image quality of the proposed method is better than that of Lu et al.'s method. 展开更多
关键词 Index Terms-Data hiding dual imaging technique least-significant-bit lsb matching revisited reversible
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基于逐像素概率预测的图像隐写定位研究
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作者 陈升 李智 《计算机工程与应用》 CSCD 北大核心 2022年第12期85-93,共9页
为进一步增强图像隐写分析的实用性,对内容自适应隐写术和非内容自适应LSB matching的隐写像素定位问题展开研究,提出一种端到端的图像隐写定位网络PSL_NET,在输入端输入一张图像,输出端定位出图像的隐写像素的位置。在预处理层中,利用... 为进一步增强图像隐写分析的实用性,对内容自适应隐写术和非内容自适应LSB matching的隐写像素定位问题展开研究,提出一种端到端的图像隐写定位网络PSL_NET,在输入端输入一张图像,输出端定位出图像的隐写像素的位置。在预处理层中,利用空域富模型的高通滤波器提取残噪图像;在深度残差层中,通过深度残差学习增强隐写特征的表达能力;在像素预测层中,利用标记出隐写像素实际位置的掩码图像进行有监督地学习,增强网络对局部隐写像素的感知能力,无区别对待平滑或者纹理区域的像素,逐一预测图像每位像素是真实位或是隐写位,最终预测出图像的隐写像素位;从目标函数层面解决正负样本的不均衡问题,提升检测精度。在基于BOSSbase v1.01数据源展开的实验中,该网络对经自适应隐写术S-UNIWARD在负载为0.4 BPP嵌入的隐写图像的像素检测准确度为0.98174,实验验证该网络同时适用于对经非内容自适应隐写术LSB matching嵌入后的隐写图像进行隐写像素定位。 展开更多
关键词 图像隐写分析 内容自适应隐写术 lsb matching 深度学习 隐写定位
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A Robust Data Hiding Reversible Technique for Improving the Security in e-Health Care System
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作者 Saima Kanwal Feng Tao +3 位作者 Ahmad Almogren Ateeq Ur Rehman Rizwan Taj Ayman Radwan 《Computer Modeling in Engineering & Sciences》 SCIE EI 2023年第1期201-219,共19页
The authenticity and integrity of healthcare is the primary objective.Numerous reversible watermarking schemes have been developed to improve the primary objective but increasing the quantity of embedding data leads t... The authenticity and integrity of healthcare is the primary objective.Numerous reversible watermarking schemes have been developed to improve the primary objective but increasing the quantity of embedding data leads to covering image distortion and visual quality resulting in data security detection.A trade-off between robustness,imperceptibility,and embedded capacity is difficult to achieve with current algorithms due to limitations in their ability.Keeping this purpose insight,an improved reversibility watermarking methodology is proposed to maximize data embedding capacity and imperceptibility while maintaining data security as a primary concern.A key is generated by a random path with minimum bit flipping is selected in the 4 × 4 block to gain access to the data embedding patterns.The random path's complex structure ensures data security.Data of various sizes(8 KB,16 KB,32 KB)are used to analyze image imperceptibility and evaluate quality factors.The proposed reversible watermarking methodology performance is tested under standard structures PSNR,SSIM,and MSE.The results revealed that the MRI watermarked images are imperceptible,like the cover image when LSB is 3 bits plane.Our proposed reversible watermarking methodology outperforms other related techniques in terms of average PSNR(49.29).Experiment results show that the suggested reversible watermarking method improves data embedding capacity and imperceptibility compared to existing state-of-the-art approaches. 展开更多
关键词 Medical images security data hiding lsb matching hiding capacity IMPERCEPTIBILITY
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