TY - JFULL AU - Md Shohidul Islam and Jongmyon Kim and Ui-pil Chong PY - 2014/3/ TI - GPU Based High Speed Error Protection for Watermarked Medical Image Transmission T2 - International Journal of Health and Medical Engineering SP - 324 EP - 327 VL - 8 SN - 1307-6892 UR - https://publications.waset.org/pdf/9997718 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 86, 2014 N2 - Medical image is an integral part of e-health care and e-diagnosis system. Medical image watermarking is widely used to protect patients’ information from malicious alteration and manipulation. The watermarked medical images are transmitted over the internet among patients, primary and referred physicians. The images are highly prone to corruption in the wireless transmission medium due to various noises, deflection, and refractions. Distortion in the received images leads to faulty watermark detection and inappropriate disease diagnosis. To address the issue, this paper utilizes error correction code (ECC) with (8, 4) Hamming code in an existing watermarking system. In addition, we implement the high complex ECC on a graphics processing units (GPU) to accelerate and support real-time requirement. Experimental results show that GPU achieves considerable speedup over the sequential CPU implementation, while maintaining 100% ECC efficiency. ER -