MARC details
| 000 -LEADER |
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| fixed length control field |
03074ntm a2200289 a 4500 |
| 001 - CONTROL NUMBER |
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| control field |
vtls000096862 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
KUKTEM |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20251117113317.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
160804t2016 my da f abm 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
THE0001273(Local) |
| 039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE] |
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| Level of rules in bibliographic description |
201905271532 |
| Level of effort used to assign nonsubject heading access points |
atie |
| Level of effort used to assign subject headings |
201710161444 |
| Level of effort used to assign classification |
aishah |
| Level of effort used to assign subject headings |
201611171541 |
| Level of effort used to assign classification |
saini |
| -- |
201608041026 |
| -- |
saini |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
UMP |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) |
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| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
FSKKP .S95 2016 r Thesis |
| 100 0# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Syifak Izhar Hisham |
| 245 10 - TITLE STATEMENT |
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| Title |
Enhanced LSB watermarking methods based on scanning patterns for authentication of medical images / |
| Statement of responsibility, etc. |
Syifak Izhar Hisham |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Kuantan, Pahang : |
| Name of publisher, distributor, etc. |
UMP, |
| Date of publication, distribution, etc. |
2016 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xx, 276 p. : |
| Other physical details |
ill. (some col.) ; |
| Dimensions |
30 cm. + |
| Accompanying material |
1 CD ROM |
| 500 ## - GENERAL NOTE |
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| General note |
Faculty of Computer Systems and Software Engineering |
| 502 ## - DISSERTATION NOTE |
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| Dissertation note |
Thesis (Doctor of Philosophy in Computer Science) -- Universiti Malaysia Pahang – 2016 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc. note |
Bibliography : p. 173-186 |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc. |
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. |
| 610 20 - SUBJECT ADDED ENTRY--CORPORATE NAME |
|---|
| Corporate name or jurisdiction name as entry element |
Faculty of Computer Systems and Software Engineering |
| General subdivision |
Dissertations |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Universities and Colleges |
| General subdivision |
Dissertations |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Theses |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
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| Uniform Resource Identifier |
<a href="http://ecollib.ump.edu.my/3528/">http://ecollib.ump.edu.my/3528/</a> |
| Public note |
Library access only |