Title :
Secure and image retrieval based on multipurpose watermarking for oracle images databases
Author :
Ouahi, Hassan ; Afdel, Karim
Author_Institution :
Lab. LabSiv, Univ. Ibn Zohr, Agadir, Morocco
Abstract :
In the cancerology domain, we were brought to make periodic mammography images to monitor tumor patients. Oracle Database Management system (DBMS) is a solution to manage these images with patient´s data recorder. Knowing the large size of medical images of mammograms, the Oracle DBMS saves these images outside the Oracle database using external LOBs. The link between these images and Oracle is done through the BFILE. At this level, two problems are raised: the first problem is that access to these images can become impossible because the link is likely to be broken. The second problem is security, the fact that the images are saved outside the Oracle database, they do not benefit from its powerful security. The protection of the integrity and confidentiality of data and patient images are a necessity defended by laws and they must be preserved against any unauthorized access, alteration or destruction. In this paper, we propose the method of reversible watermarking technique based on the difference expansion to resolve these two problems and explore its use in search and retrieval strategy of images.
Keywords :
authorisation; data protection; image retrieval; image watermarking; mammography; medical image processing; patient monitoring; visual databases; BFILE; Oracle DBMS; Oracle database management system; Oracle images databases; cancerology domain; data confidentiality protection; data integrity protection; external LOB; image retrieval strategy; image search; medical images; multipurpose watermarking; patient data recorder; patient images; periodic mammography images; reversible watermarking technique; security; tumor patients monitoring; unauthorized access; Biomedical imaging; Bones; Databases; Image analysis; Image resolution; Image restoration; Payloads; BFILE; Reversible Watermarking; Security and mammograms images; external LOBs Oracle; image extraction; texture;
Conference_Titel :
Multimedia Computing and Systems (ICMCS), 2014 International Conference on
Conference_Location :
Marrakech
Print_ISBN :
978-1-4799-3823-0
DOI :
10.1109/ICMCS.2014.6911388