Hybrid Mode of Medical Image Watermarking To Enhance Robustness and Imperceptibility
Usha Verma1, Neelam Sharma2
1Usha Verma, Research Scholar, Electronics Engineering, Banasthali Vidyapith, Tonk, and Assistant Professor, School of Electrical Engineering, MIT Academy of Engineering, Pune, India.
2Dr. Neelam Sharma, Associate Professor, Department of Computer Science, Banasthali Vidyapith, Tonk, India.
Manuscript received on October 13, 2019. | Revised Manuscript received on 25 October, 2019. | Manuscript published on November 10, 2019. | PP: 351-359 | Volume-9 Issue-1, November 2019. | Retrieval Number: A4126119119/2019©BEIESP | DOI: 10.35940/ijitee.A4126.119119
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In Modern healthcare systems, diagnostic information of patients is managed digitally. Watermarking strategies plays a significant role to ensure the security, authenticity and management of biomedical images and related patient information. This paper explores different invisible Digital watermarking methods both in spatial and transform / frequency domain and then Hybrid method by combining two techniques to justify better results for medical images. Here, host image considered is a medical image and patient’s information is a watermark which is embedded into it. The embedded watermark is hidden in medical host image and its quality should not be degraded to avoid misdiagnosis by doctors. In this paper, LSB, SVD, DCT, DWT and Hybrid techniques (DWT+SVD) are implemented for embedding and extraction process of invisible medical image watermarking. The performance is evaluated based on PSNR as a measure of imperceptibility and CRC & SSIM as a check of robustness. The attacks introduced are cropping, rotating, and noise like Gaussian, Salt & Paper, Speckle and Poisson. Results reveal that DWT provides higher PSNR values but it is robust for few attacks only. On the other side, SVD provides consistent SSIM for all attacks, although PSNR values are less than that of DWT. Hence a hybrid technique is implemented by incorporating benefits of DWT and SVD both and achieved optimal values of PSNR as well as SSIM to provide better security to medical images by preserving the quality as well.
Keywords: Hybrid, Medical Image Watermarking, PSNR, SSIM.
Scope of the Article: Image analysis and Processing