Open AccessDevelopment of a New Blind Watermarking for Medical Images
Author(s) -
Dr A. V. Paramkusam*,
M. Kalaiselvi Geetha,
K. Sailakshmi,
M. Mohansai,
L. Sowmya
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.i6845.079920
Subject(s) - digital watermarking , watermark , robustness (evolution) , computer science , computer vision , discrete cosine transform , artificial intelligence , block (permutation group theory) , image (mathematics) , pixel , authentication (law) , chaotic , computer security , mathematics , biochemistry , chemistry , geometry , gene
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.