Correction-enabled reversible data hiding with pixel repetition for high embedding rate and quality preservation

IF 1.5 Q3 AUTOMATION & CONTROL SYSTEMS IET Cybersystems and Robotics Pub Date : 2024-09-30 DOI:10.1049/csy2.70000
Mohammad Ali Kawser, Hussain Nyeem, Md Abdul Wahed
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Abstract

A novel correction-enabled Pixel Repetition (PR)-based Reversible Data Hiding (RDH) framework, featuring a new embedding scheme is presented. The proposed RDH scheme uses contextually redundant block pixels, generated via PR, in a two-phase adaptive embedding process, enhancing both image quality and data embedding rates. Specifically, each 2 × 2 $2\times 2$ block encodes 4 bits of data using new mapping conditions that facilitate seed pixel reconstruction from remaining block pixels and provide additional embedding opportunities. Additionally, an innovative post-embedding error correction technique, based on 2 k ${2}^{k}$ -bit error-correction, minimises post-embedding distortion, further improving image quality. This error correction approach augments data embedding robustness, vital for applications like medical imaging, telemedicine, and digital watermarking that requires high embedding capacity with minimum possible distortion. The proposed scheme surpasses existing state-of-the-art methods in embedding rate-distortion performance, validated through subjective and objective analyses. Furthermore, statistical analysis, including histogram and fragility testing, confirms the scheme's potential for image authentication across diverse multimedia applications. The correction-enabled RDH with PR offers enhanced embedding capacity and image quality preservation, making it particularly advantageous for applications requiring robust data hiding while maintaining visual fidelity.

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利用像素重复校正功能进行可逆数据隐藏,实现高嵌入率和质量保证
本文介绍了一种基于像素重复(PR)校正的新型可逆数据隐藏(RDH)框架,它采用了一种新的嵌入方案。所提出的 RDH 方案在两阶段自适应嵌入过程中使用了通过 PR 生成的上下文冗余块像素,从而提高了图像质量和数据嵌入率。具体来说,每个 2 × 2 2 次 2$ 块使用新的映射条件编码 4 比特数据,这有利于从剩余块像素重建种子像素,并提供额外的嵌入机会。此外,基于 2 k ${2}^{k}$ -比特纠错的创新嵌入后纠错技术最大限度地减少了嵌入后失真,进一步提高了图像质量。这种纠错方法增强了数据嵌入的鲁棒性,对于医学成像、远程医疗和数字水印等要求高嵌入容量和最小失真度的应用至关重要。通过主观和客观分析验证,所提出的方案在嵌入率-失真性能方面超越了现有的最先进方法。此外,包括直方图和脆性测试在内的统计分析也证实了该方案在各种多媒体应用中进行图像认证的潜力。带有 PR 的校正 RDH 可提供更强的嵌入能力和图像质量保证,因此特别适用于需要在保持视觉保真度的同时进行稳健数据隐藏的应用。
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来源期刊
IET Cybersystems and Robotics
IET Cybersystems and Robotics Computer Science-Information Systems
CiteScore
3.70
自引率
0.00%
发文量
31
审稿时长
34 weeks
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