Abstract: Data embedding has wide range of applications in the medical field. This method is helpful in securing information of the patients from the intruders with high storage capacity. The medical images of different modalities like CT, MRI and PET with the digitized clinical data can be sent to the physicians across the world for the diagnosis. Due to the bandwidth and storage constraints, medical images along with the clinical data must be compressed before transmission and storage. This study presents a new technique for data embedding and retrieving the digitized clinical data along with the DICOM images by using Complex Contourlet Transform (CCT). It also estimates the compression method by using entropy encoder. Hence, this study suggests that the data embedding and retrieving technique based on Complex Contourlet Transform (CCT) is more efficient and also it has high hiding capacity. The improved values of Compression Ratio (CR), Space Saving (SS), Mean Square Error (MSE) and Peak Signal to Noise Ratio (PSNR) show that the new technique satisfies the properties of the data embedding technique.
G. Saranya and S. Nirmala Devi, 2016. Data Hiding and Retrieving Using Complex Contourlet Transform. Asian Journal of Information Technology, 15: 4400-4406.