Reversible data hiding scheme using optimal weight predictor based on DMT in medical imaging

The progress of internet technology, especially in medical, information can be transmission across in real-time allowing medical practice through tele-diagnosis. Meantime, ensuring the security of transmitted medical information, including between protection and reliability guaranties, becomes a challenging. This work presents an effective reversible data hiding technique for the medical imaging modalities. The optimal weight predictor is introduced which can predict to be more accurate than the conventional predictor. The proper weight value enhances the performance of the prediction. We employ prediction errors to embed data into an image. A data sorting technique is used to record the prediction errors according to magnitude of its local variance. The pixels in an image is checked using a technique which will be referred double modification testing, where each pixel is an attempt to embed a test bit. Experimental study is carried using several medical images, and the results are compared with well-known method in the literature.