000 02492nam a2200265 a 4500
001 vtls000076587
003 KUKTEM
005 20251117113433.0
008 140110t2013 my a f m 000 0 eng d
020 _aTHE0008005(Local)
039 9 _a201906131209
_bnadia
_y201401101542
_znabilah
040 _aUMP
090 _aTA1638 .C43 2013 rs Bc.
100 1 _aChang, Billy Zhi Yang
245 1 0 _aCompression in image recovery watermarking using PNG (Portable Network Graphic) /
_cBilly Chang Zhi Yang
260 _aKuantan, Pahang :
_bUMP,
_c2013
300 _axv, 85 p. :
_bill. ;
_c30 cm. +
_e1 CD-ROM
502 _aProject paper (Bachelor of Computer Science (Software Engineering)) -- Universiti Malaysia Pahang – 2013
504 _aBibliography : p. 82-84
520 3 _aMedical image is a very important material in medical world. A medical image is able to control and judge a life of human. Therefore the messages that keep inside the medical image must be protect well to avoid tragedy. Watermarking is a process that back up and protect the information of the in the medical image. An image is divided into two parts ROI (Region of Interest) which is an area that holding important process and RONI (Region of Non Interest) which is the area that is black in color in the medical image. In the process of watermark, all the information is compressed to reduce the size for storing purpose. Compression method plays a role in watermark process. Once the capacity of storage is limited, the smaller the size the information, the more information can be store. Lossless compression method is the first choice for the research due to same quality of the image will be produce after compressed. The type of lossless compression method will be tested and the better compression method which is holding the lowest value of compression ratio will be chose. TALLOR (Tamper Localization and Lossless Recovery) is use in the research. The important information in ROI will be compressed and embed in RONI. After the process of embedding is end, the watermarked image is tested with the PSNR (peak signal-to-noise ratio) to calculate the similarity of the image before and after watermarked. A high value of PSNR value is preferred which is in the range of 35.0 dB to 55.dB.
650 0 _aDiagnostic imaging
650 0 _aDigital images
_xWatermarking
650 0 _aImage compression
999 _aVIRTUA40
_c8645
_d8651
999 _aVTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*6501*6502*9992