Steganographic methods have been in the limelight of research and development for concealing secret data within a cover media without being noticed through general visualization. The Least Significant Bits (LSBs) of 8-bit color code for the RGB image arises the possibility of replacing the last two bits with the bits of the encrypted message. Several procedures have been developed to hide an image within another image however in most cases the payload image has to be within the accommodatable range of the cover image and very little literature have shown methods to hide multiple images within multiple images. This paper presents a novel approach to split the image into JSON styled dictionary of key-value pairs and using a metadata graph to locate different parts and positions of the payload images in the entire cluster of cover images. The model could be easily used in the real world scenario for privately sharing secret data over public communication channels without being noticed.

翻译：隐写方法长期以来一直是研究与发展领域关注的焦点，旨在将秘密数据隐藏于载体媒体中，使其不被常规视觉察觉。RGB图像8位颜色编码的最低有效位（LSBs）使得将加密消息的比特替换最后两位成为可能。目前已开发出多种方法将一幅图像隐藏于另一幅图像中，然而在大多数情况下，载荷图像需在载体图像的可容纳范围内，且鲜有文献展示将多幅图像隐藏于多幅图像中的方法。本文提出一种创新方法，将图像分割为JSON风格的键值对字典，并利用元数据图定位载荷图像在整组载体图像中的不同部分与位置。该模型可轻松应用于现实场景，在公共通信渠道上隐秘共享私密数据而不被察觉。