渐进式哈特利图像秘密共享,用于高质量图像恢复

IF 2.1 Q2 ENGINEERING, MULTIDISCIPLINARY Cogent Engineering Pub Date : 2023-10-03 DOI:10.1080/23311916.2023.2262805
Raviraja M Holla, D Suma
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引用次数: 0

摘要

本文介绍了一种利用离散哈特利变换(DHT)进行图像渐进秘密共享的高效方法,与现有方法相比具有明显的优势。利用颜色域的DHT,我们的方法实现了彩色图像的渐进式共享,同时保持了鲁棒性和最小的视觉影响。该方法通过优化量化表选择,实现图像恢复保真度的最大化。我们的大量实验展示了我们提出的方法的有效性,突出了其通过实数DHT变换实现安全图像共享和卓越图像质量的潜力。值得注意的是,我们的方法通过直方图分析显示了强大的安全鲁棒性和高质量的图像重建。88.106 (PSNR)、0.884 (NCC)、0.095 (NAE)和0.895 (SSIM)的客观评价值显示了我们方法的优越性。这些结果,加上其独特的贡献和关键因素,使我们的工作成为图像安全和分发领域的一个有前途的解决方案,激励着进一步的探索和激励着相关的研究工作。
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Progressive Hartley image secret sharing for high-quality image recovery
This paper introduces a highly efficient approach for progressive image secret sharing through the Discrete Hartley Transform (DHT), offering distinct advantages over existing methods. Leveraging DHT in the color domain, our approach achieves progressive sharing of color images while maintaining robustness and minimal visual impact. By optimizing quantization table selection, our method focuses on maximizing image recovery fidelity. Our extensive experiments showcase the efficacy of our proposed method, highlighting its potential for secure image sharing and superior image quality enabled by the real-number DHT transformation. Notably, our approach demonstrates strong security robustness and high-quality image reconstruction through histogram analysis. Objective assessment values of 88.106 (PSNR), 0.884 (NCC), 0.095 (NAE), and 0.895 (SSIM) underscore the superiority of our method. These results, coupled with its unique contributions and key factors, position our work as a promising solution in the field of image security and distribution, motivating further exploration and inspiring related research endeavors.
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来源期刊
Cogent Engineering
Cogent Engineering ENGINEERING, MULTIDISCIPLINARY-
CiteScore
4.00
自引率
5.30%
发文量
213
审稿时长
13 weeks
期刊介绍: One of the largest, multidisciplinary open access engineering journals of peer-reviewed research, Cogent Engineering, part of the Taylor & Francis Group, covers all areas of engineering and technology, from chemical engineering to computer science, and mechanical to materials engineering. Cogent Engineering encourages interdisciplinary research and also accepts negative results, software article, replication studies and reviews.
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