Recently, data hiding techniques have become very popular in several vital applications, especially in telemedicine. The reason for this is their ability to give good results such as high embedding capacity while preserving visual image quality as much as possible after extracting the hidden secret message. In earlier studies, many researchers have achieved the goal of reversible data hiding (RDH) algorithm. All these methods have achieved excellent results on standard and natural images. However, in the case of medical images, especially color medical images, we face the problem of how to preserve the visual quality of image contents while achieving the goals of RDH in avoiding the loss of patient data or the distortion of the diagnosing image. In this paper, we proposed a secure data hiding method using a hyper chaotic map and left-most embedding strategy. The proposed methods are hybrid, where it is applied in the DCT frequency domain and encrypted domain together as presented here. This gives a higher embedding rate and higher visual image quality than existing methods without any loss or distortion of both hidden secrets data and reconstructed image. The novelty of this paper is to embed the desired secret data in each quantized block of DCT using (8-bit LMSB) strategy for embedding process. We tested our algorithm on both color medical images and standard color images of different sizes and different formats. We evaluated the performance of our algorithm on the basis of the quality metrics MSE, PSNR, BER, SSIM, Correlation, Symbol Error Rate, additional quality evaluation metrics, execution time, and different types of geometric and signal attacks. All of these parameters are demonstrated and represented in this proposed work in detail.

近来，数据隐藏技术已经在几种重要的应用中变得非常流行，尤其是在远程医疗中。其原因是在提取隐藏的秘密消息后，它们能够提供良好的结果（如高嵌入容量），同时又尽可能保留可视图像质量的能力。在较早的研究中，许多研究人员已经实现了可逆数据隐藏（RDH）算法的目标。所有这些方法在标准图像和自然图像上均取得了出色的效果。然而，在医学图像，特别是彩色医学图像的情况下，我们面临的问题是如何在保持RDH的目标的同时，保持图像内容的视觉质量，从而避免患者数据的丢失或诊断图像的失真。在本文中，我们提出了一种使用超混沌映射和最左侧嵌入策略的安全数据隐藏方法。所提出的方法是混合的，如此处介绍的，将其一起应用于DCT频域和加密域。与现有方法相比，这提供了更高的嵌入率和更高的视觉图像质量，而不会导致隐藏秘密数据和重构图像的任何丢失或失真。本文的新颖之处在于使用（8位LMSB）策略将所需的秘密数据嵌入DCT的每个量化块中进行嵌入。我们在彩色医学图像和不同大小和格式的标准彩色图像上测试了我们的算法。我们根据质量指标MSE，PSNR，BER，SSIM，相关性，符号错误率，其他质量评价指标，执行时间，以及不同类型的几何和信号攻击。所有这些参数均在此拟议工作中得到了详细说明和表示。