Publication

Abstract : This chapter proposes a novel fragile piece-based restorative image watermarking framework for introducing patients’ data into a helpful image, affirming the dependability of ROI (Region of Interest), recognizing the modified squares inside ROI and recovering remarkable ROI with less size check and recovery data and with essential logical estimations. In the proposed method, the therapeutic image is isolated into three regions called ROI, RONI (Region of Non-Interest) and edge pixels. Subsequently, the approval data of ROI and Electronic Patient Records (EPRs) are compacted using a Run Length Encoding (RLE) system and after that embedded into ROI. Recovery information on ROI is embedded inside RONI and information on ROI is introduced inside edge pixels. Results of preliminaries coordinated on a couple of helpful images reveal that the proposed procedure makes magnificent watermarked therapeutic images, recognizes adjusted regions inside ROI of watermarked remedial images and recovers the principal ROI.