In the telemedicine industry, a standout among the most significant issue is the exchange of Electronic Patient Information (EPI) between patient and a doctor that are remotely connected. A minute change to EPI may result in a wrong diagnosis for the patient. To ensure secure and safe communication for telemedicine applications, a dual-image separable block-based reversible data hiding algorithm in encrypted domain for embedding secret message in base₅ numeral framework is proposed here. The proposed scheme has not been suffering from underflow and overflow problem so that empowering it to embed and recover information precisely from low-intensity pixels too. This property makes our proposed methodology truly reasonable for its utilization on medical images. To prove the effectiveness of our proposed approach, experiments have been performed on different test images. The average PSNR value is 54.10 dB for an embedding capacity of 327,680 bits for all test images which demonstrates that the method is capable of giving good quality stego images even at high payload also. The experimental study revealed that for all types of test images, the proposed methodology altogether beaten all the compared methodologies in its ability to embed secret message and precisely recover it by maintaining the visual quality of stego images too.

在远程医疗行业中，最重要的问题之一是远程连接的患者和医生之间的电子患者信息（EPI）交换。EPI的微小变化可能会导致对患者的错误诊断。为了保证远程医疗应用，一个双图像可分离基于块的可逆数据隐藏在加密的域算法中嵌入秘密信息的安全的和安全的通信b一个小号ë ₅这里提出了数字框架。所提出的方案没有遭受下溢和溢出问题的困扰，因此也使其能够嵌入和从低强度像素中精确地恢复信息。此属性使我们提出的方法对于在医学图像上的利用而言确实是合理的。为了证明我们提出的方法的有效性，已经在不同的测试图像上进行了实验。对于所有测试图像，对于327,680位的嵌入容量，平均PSNR值为54.10 dB，这表明该方法即使在高有效负载时也能够提供高质量的隐身图像。实验研究表明，对于所有类型的测试图像，