No abstract

In medical practice, the scanned image of the patient between the patient and the doctor is confidential. If info is stored on a single server and the server is successfully attacked, it is possible to expose confidential information. Password encryption and data authentication are commonly used to protect patient data, however, encryption and data authentication are computationally expensive and take time to execute on a mobile device. In addition, it is not easy for the patient details related to medical images to leak if the hacked image are not visual.Therefore, in this paper, we propose a way to make medical images remain untouched in this sense. We use our method to quickly create two shadows from two medical images and store them on two servers. Revealing a shadow image does nothing to compromise the confidentiality of a patient’s health. This method is based on Hamming code. With low computational cost, the proposed scheme is suitable for tablet, pamphlets and other mobile devices.

No abstract

In the digital multimedia era, data hiding in the compression domain becomes increasingly popular in the need for speeding up the transmission process and reducing bandwidth. Recently, VQ-based watermarking techniques have attracted more attentions, e.g., Tu and Wang proposed a VQ-based lossless data hiding scheme with high payload most recently. However, their scheme produces some more overhead information. In this study, we develop a novel reversible hiding scheme which may reduce the use of overhead bits, which is especially effective for images of complex texture. Specifically, a codebook is partitioned into six clusters which are organized based on the usage frequency of codewords. We then develop a new mapping relationship among the six clusters to hide secret data more cost-effectively. The experimental results demonstrate that our proposed scheme outperforms Tu's scheme for complex texture images.