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Compression in image recovery watermarking using PNG (Portable Network Graphic) / Billy Chang Zhi Yang

By:

Chang, Billy Zhi Yang

Material type: Text

TextPublication details: Kuantan, Pahang : UMP, 2013Description: xv, 85 p. : ill. ; 30 cm. + 1 CD-ROMISBN:

THE0008005(Local)

Subject(s):

Dissertation note: Project paper (Bachelor of Computer Science (Software Engineering)) -- Universiti Malaysia Pahang – 2013 Abstract: Medical 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.

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Holdings ( 2 )
Title notes ( 3 )

Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Restricted Collection	UMPLIB GAMBANG	TA1638 .C43 2013 rs Bc. (Browse shelf(Opens below))	1	Not for loan		0000078935
Restricted Collection	UMPLIB GAMBANG	CD 7646 \| TA1638 .C43 2013 rs Bc. (Browse shelf(Opens below))	1	Not for loan		0000078936

Project paper (Bachelor of Computer Science (Software Engineering)) -- Universiti Malaysia Pahang – 2013

Bibliography : p. 82-84

Medical 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.