000			03074ntm a2200289 a 4500
001			vtls000096862
003			KUKTEM
005			20251117113317.0
008			160804t2016 my da f abm 000 0 eng d
020			_aTHE0001273(Local)
039		9	_a201905271532 _batie _c201710161444 _daishah _c201611171541 _dsaini _y201608041026 _zsaini
040			_aUMP
090			_aFSKKP .S95 2016 r Thesis
100	0		_aSyifak Izhar Hisham
245	1	0	_aEnhanced LSB watermarking methods based on scanning patterns for authentication of medical images / _cSyifak Izhar Hisham
260			_aKuantan, Pahang : _bUMP, _c2016
300			_axx, 276 p. : _bill. (some col.) ; _c30 cm. + _e1 CD ROM
500			_aFaculty of Computer Systems and Software Engineering
502			_aThesis (Doctor of Philosophy in Computer Science) -- Universiti Malaysia Pahang – 2016
504			_aBibliography : p. 173-186
520			_aThis 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	2	0	_aFaculty of Computer Systems and Software Engineering _xDissertations
650		0	_aUniversities and Colleges _xDissertations
650		0	_aTheses
856	4	0	_uhttp://ecollib.ump.edu.my/3528/ _zLibrary access only
999			_aVIRTUA40 _c6515 _d6521
999			_aVTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5000*5020*5040*5200*6100*6500*6501*8560*9992