High Fidelity Embedding of Electronic Patient Record in Medical Images
Mohammad Ali Kawser, Mohammad Ali Kawser, Hussain Nyeem, Hussain Nyeem · 2020 IEEE Region 10 Symposium (TENSYMP) · 2020
In support of easier access and effective management of the increasing electronic patient record (EPR) and medical images, an improved Pixel Repetition (PR) based embedding scheme is investigated in this paper for hiding EPR in the medical images to ensure higher-rate embedding without any noticeable visual degradation. Particularly, a medical image is up-sampled using PR that creates a block of four pixels from each original pixel called the seed. Each block embeds 4 bits of EPR-data using PR-embedding conditions followed by the embedding of k-bits of the data in the LSBs (Least Significant Bits) of the seed pixels. Furthermore, a pixel correction technique (2k-bit correction) has been applied to enhance the quality of the embedded medical image. The proposed scheme demonstrates significantly higher embedding capacity in comparison to other state-of-the-art techniques while maintaining good visual quality of the embedded medical image.