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A new secure image transmission technique via secretfragment-visible mosaic images by nearly reversible color transformations.

机译:通过秘密片段可见的马赛克图像通过几乎可逆的颜色转换实现的一种新的安全图像传输技术。

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摘要

Applications of digital image processing become more widespread, especially as the transfer of images from one entity to another using the internet as the medium of transfer is increasing. Digital image transmission technology has found advanced applications in various fields where security is of paramount importance. Examples of such applications include medical databases and confidentiality of patient records, military databases and prevention of leaking of classified materials, business databases and protection of enterprise-wide records; online document storage systems, etc. Although a lot of research has been done on secure image transmission, several issues still remain unresolved, such as leakages during transmission, and the resulting loss of confidentiality. The current project presents an innovative method for secure image transmission that transforms a selected image by the secret fragment mosaic image approach, where the entire transformation process is controlled by a secret key. The secret key is used later to acquire the hidden content in a lossless manner from the proposed mosaic image. Simulation results are presented that highlight the performance of the proposed method in terms of secure transmission and lossless recovery.
机译:数字图像处理的应用变得越来越广泛,尤其是随着使用互联网作为传输媒介将图像从一个实体传输到另一个实体的情况越来越多。数字图像传输技术已经在安全至关重要的各个领域中找到了先进的应用。此类应用的示例包括医疗数据库和患者记录的机密性,军事数据库和防止机密材料泄漏,商业数据库和企业范围记录的保护;在线文档存储系统等。尽管已对安全图像传输进行了大量研究,但仍未解决一些问题,例如传输过程中的泄漏以及由此导致的机密性丧失。当前项目提出了一种用于安全图像传输的创新方法,该方法通过秘密片段镶嵌图像方法对选定的图像进行转换,其中整个转换过程由秘密密钥控制。稍后使用秘密密钥以无损方式从建议的镶嵌图像中获取隐藏的内容。仿真结果表明了该方法在安全传输和无损恢复方面的性能。

著录项

  • 作者

    Vadde, Sandeep Kumar.;

  • 作者单位

    California State University, Long Beach.;

  • 授予单位 California State University, Long Beach.;
  • 学科 Engineering.;Electrical engineering.
  • 学位 M.S.
  • 年度 2015
  • 页码 44 p.
  • 总页数 44
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:52:21

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