Medical data hiding is used to hide patient information inside medical images to protect patient privacy. Patient information in the image should be protected when sending medical images to other specialists or hospitals over the communication network. However, the images are exposed to various unwanted disruptive signals in the communication channel. One of these signals is salt and pepper noise. A pixel exposed to salt and pepper noise becomes completely black or completely white. In pixel-based data hiding methods, it is not possible to extract the secret message in the pixel exposed to this kind of noise. While current data hiding methods are good for many disruptive effects, they are weak against salt and pepper noise. For this reason, the proposed study especially focuses on the accurate extraction of patient information in the salt and pepper noisy medical images. This study was proposed for the most accurate extraction of secret message despite salt and pepper noise, by use of a Reed Solomon error control coding-based data hiding method. The most important feature of Reed Solomon codes is that they can correct errors in non-binary (decimal) numbers directly. Therefore, the Reed Solomon coding-based data hiding method that proposed in this study increases the resistance against salt and pepper noise. Experimental studies show that secret data is accurately extracted from stego images with various densities of salt and pepper noise. Stego medical images created by the proposed method have superior quality values compared to similar literature studies. Additionally, compared to similar methods, the secret message is extracted from the noisy stego image with higher accuracy.

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基于 Reed Solomon 编码的抗椒盐噪声医学图像数据隐藏方法

医学数据隐藏用于将患者信息隐藏在医学图像中，以保护患者隐私。通过通信网络向其他专家或医院发送医学图像时，应保护图像中的患者信息。然而，图像会暴露在通信信道中的各种有害干扰信号中。这些信号之一是椒盐噪声。暴露于椒盐噪声的像素会变成全黑或全白。在基于像素的数据隐藏方法中，不可能在暴露于这种噪声的像素中提取秘密信息。虽然当前的数据隐藏方法对许多破坏性影响都有好处，但它们对椒盐噪声的抵抗力很弱。为此原因，拟议的研究特别侧重于准确提取椒盐噪声医学图像中的患者信息。这项研究旨在通过使用基于 Reed Solomon 错误控制编码的数据隐藏方法，在不考虑盐和胡椒噪声的情况下最准确地提取秘密信息。里德所罗门码最重要的特点是可以直接纠正非二进制（十进制）数中的错误。因此，本研究提出的基于 Reed Solomon 编码的数据隐藏方法增加了对椒盐噪声的抵抗力。实验研究表明，可以从具有各种椒盐噪声密度的隐写图像中准确提取秘密数据。与类似的文献研究相比，由所提出的方法创建的 Stego 医学图像具有更高的质量值。此外，