Development of a New Blind Watermarking for Medical Images
A. V. Paramkusam1, M. Geetha2, K. Sailakshmi3, M. Mohansai4, L. Sowmya5

1Dr. A. V. Paramkusam*, Department of ECE, Lendi Institute of Engineering & Technology, JNTU Kakinada, Vizianagaram India.
2M. Geetha, Department of ECE, Lendi Institute of Engineering & Technology, JNTU Kakinada, Vizianagaram India.
3K. Sailakshmi, Department of ECE, Lendi Institute of Engineering & Technology, JNTU Kakinada, Vizianagaram India.
4M. Mohansai, Department of ECE, Lendi Institute of Engineering & Technology, JNTU Kakinada, Vizianagaram India.
5L. Sowmya, Department of ECE, Lendi Institute of Engineering & Technology, JNTU Kakinada, Vizianagaram India.
Manuscript received on June 07, 2020. | Revised Manuscript received on June 20, 2020. | Manuscript published on July 10, 2020. | PP: 50-56 | Volume-9 Issue-9, July 2020 | Retrieval Number: 100.1/ijitee.I6845079920 | DOI: 10.35940/ijitee.I6845.079920
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Abstract: Securing the data of patient and keeping the information confidential has become a challenging task at present days. More number of chances are available for information alteration or security breach. When the information is transferred from source to destination digital image watermarking technique is most commonly used to secure the patient’s information watermarking provides the copy right protection, authentication proof and detection of tampering. This paper presents a watermarking technique to embed patient’s information in a medical image so that information can be transferred securely and information alteration would be prevented. An Arnold Chaotic Map is applied to the sensitive watermark image to scramble the pixels in the sensitive watermark image. The cover medical image is partitioned into non overlapping blocks and DCT is applied to each block. Each and every bit of the watermark image is embedded into block by using Weber Descriptor. By using this Weber Descriptor robustness of an image will be increased. An experimental result shows that the proposed algorithm improves the robustness against various attacks like compression, filtering and noising. 
Keywords: Watermarking, DCT, Arnold Chaotic map, Weber descriptor, Robustness.
Scope of the Article: Biomedical Computing