An Implementation of Text Hiding in Medical Images based on Graph Coloring for Android Devices
Muhammad Wildan Iskandar, Adiwijaya Adiwijaya · Journal of Physics Conference Series · 2019
Medical images are representations of highly vulnerable digital images and useful objects that help diagnose a patient. However, it is not easy to maintain the authenticity of a medical image because there are many ways that it can be manipulated. Therefore, several methods have been developed to protect the authenticity of medical images. One way is to add a watermark onto the medical images. However, digital image watermarking techniques are usually widely implemented using software running on a computer. In this paper, the authors built a system to hide the text on medical images using an Android device. The system consists of an embedding and extracting process. In the embedding process, the method used is vector quantization and graph coloring based on a Genetic Algorithm. The test result shows that the scheme has good imperceptibility and a fast enough time consumption to be implemented on an Android device.