QR codes application for reversible watermarking algorithm in biomedical images

This paper presents an algorithm in reversible watermarking or lossless data hiding, the application associated with the quick response codes (or call QR codes) and the biomedical images. QR code is random patterns, looks like random noise which can be commonly found on the webpages. We can use the smartphone camera to capture the QR code at the webpage, and then the hyperlink corresponding to the QR code can be accessed instantly. The biomedical imaging plays a significant role in diagnosing at the present time. The diagnose information given by biomedical images is important for designing the proper treatment for each patient, this information is personal and cannot be disclosed according to ethics. We have applied the QR code with data embedding in biomedical image in order to retain the confidential information. Our algorithm uses prediction errors to embed the QR codes into different biomedical images models which are diverse in the nature structure. A sorting technique is used to record the prediction errors based on magnitude of its local variance. Using sorted prediction errors reduce location map size and allow us to embed more data into the biomedical image with low distortion. Experimental results also demonstrate the applicability of the proposed algorithm.