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Image steganography based on interval-valued intuitionistic fuzzy edge detection and modified LSB

机译:基于区间直觉模糊边缘检测和改进LSB的图像隐写术

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摘要

The Internet is becoming increasingly popular as a communication channel. However, message transmissions via the Internet have some problems, such as information security, copyright protection, and so on. Therefore, we need a secure communication method to transmit messages via the Internet. Steganography is a technique that hides secret data into cover media by altering its most insignificant components, such that an unauthorized user will not be aware of the existence of the secret data. In recent years the development of artificial intelligence and fuzzy logic has started a new period in the whole science. The proposed scheme has taken into consideration the property that more information can be hidden into the edge areas rather than in the smooth areas. This scheme makes the use of interval-valued intuitionistic fuzzy edge detecting method as well as the modified LSB substitution method that causes the image quality and capacity to increase. The use of intuitionistic fuzzy sets not only improves the image quality, but it is also more accurate in detecting the edges and smooth areas. The proposed scheme is tested on different standard images with secret messages of various lengths. The experimental results show the ability of the proposed scheme.
机译:互联网作为通信渠道正变得越来越流行。但是,通过Internet进行的邮件传输存在一些问题,例如信息安全性,版权保护等。因此,我们需要一种安全的通信方法来通过Internet传输消息。隐秘术是一种通过更改秘密数据将其最无关紧要的组件隐藏在封面媒体中的技术,这样未经授权的用户将不会意识到秘密数据的存在。近年来,人工智能和模糊逻辑的发展开始了整个科学的新时期。所提出的方案已经考虑到可以将更多信息隐藏在边缘区域而不是平滑区域中的特性。该方案利用间隔值直觉模糊边缘检测方法以及导致图像质量和容量提高的改进的LSB替换方法。直觉模糊集的使用不仅改善了图像质量,而且在检测边缘和平滑区域时也更加准确。在具有不同长度的秘密消息的不同标准图像上对提出的方案进行了测试。实验结果表明了该方案的能力。

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