03074ntm a2200289 a 4500 vtls000096862 KUKTEM 20251117113317.0 160804t2016 my da f abm 000 0 eng d THE0001273(Local) 201905271532 atie 201710161444 aishah 201611171541 saini 201608041026 saini UMP FSKKP .S95 2016 r Thesis Syifak Izhar Hisham Enhanced LSB watermarking methods based on scanning patterns for authentication of medical images / Syifak Izhar Hisham Kuantan, Pahang : UMP, 2016 xx, 276 p. : ill. (some col.) ; 30 cm. + 1 CD ROM Faculty of Computer Systems and Software Engineering Thesis (Doctor of Philosophy in Computer Science) -- Universiti Malaysia Pahang – 2016 Bibliography : p. 173-186 This thesis investigated the trend in the current watermarking technology of medical images which features authentication, tamper localization, and recovery. Nowadays the information system is used widely in hospitals and clinical departments globally. It is able to help the clinical professionals doing diagnosis, smoothen the transmission process, and store the patients' data and medical images. Since the system handles thousands of crucial medical data, a security and authentication method is seen as imperative to protect the data. Three watermarking techniques were proposed to enhance the fragile watermarking algorithm aiming at improving the numbering technique before embedding the watermark data. They are Authentication Watermarking for Grey-Scale Medical Images Using Spiral Manner Numbering (SPIRAL-LSB), Authentication Watermarking for Grey-Scale Medical Images Using Hilbert Manner Numbering (HILBERT-LSB) and Authentication Watermarking for Color Medical Images Using Hilbert Manner Numbering (HILBERT-LSB-C). All proposed methods used unique styles of numbering and mapping pixels to guarantee a good performance of the authentication system. This can be done by spreading the numbered original data as far as possible from the original locations. The watermark generating and embedding phases used the same processes in all schemes. They produced the authentication data by using simple operations, which were parity bits check and comparison between average intensity data. The schemes embedded the authentication data in the least significant bit (LSB). The embedded authentication data in the same host image were utilized to localize any tamper using block-wise approach. The method is effective since it only required a secret key and a public, chaotic mixing algorithm to recover the attacked image. Faculty of Computer Systems and Software Engineering Dissertations Universities and Colleges Dissertations Theses http://ecollib.ump.edu.my/3528/ Library access only 0 0 lcc 0 6 20000 20000 2019-09-04 0 FSKKP .S95 2016 r Thesis 0000111041 2019-09-04 00:00:00 1 2019-09-04 THESIS 0 0 lcc 0 6 20000 20000 2019-09-04 0 CD 9880 | FSKKP .S95 2016 r Thesis 0000111042 2019-09-04 00:00:00 1 2019-09-04 THESIS 0 0 lcc 0 1 20000 20000 2019-09-04 0 FSKKP .S95 2016 r Thesis 0000113731 2019-09-04 00:00:00 2 2019-09-04 THESIS c.2 VIRTUA40 6515 6521 VTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5000*5020*5040*5200*6100*6500*6501*8560*9992