Enhancement of the Size of Hidden Data and the Quality of Image Using LSB Algorithm

Bilal , Bahaa Zaidan (2009) Enhancement of the Size of Hidden Data and the Quality of Image Using LSB Algorithm. Masters thesis, University of Malaya.

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Abstract

Steganography is the idea of hiding private, sensitive data or information within something that appears to be nothing but normal. If a person views the digital object that the information is hidden inside, he or she will have no idea that there is any hidden information, therefore the person will not attempt to decrypt the information, this is the main objective behind steganography. What Steganography technically does is to make use of human awareness; human senses are not trained to look for files that have information hidden inside of them, although there are programs available that can do what is called Stego-analysis (Detecting use of Steganography.) The researchers has been suffered from steganography or data hidden and the reasons behind these suffering are either stego-analysis, which present the level of data protection vs the possibility of against the data or the size of data which can be hidden in the carrier cover. Other challenge on data hidden is, when we try to increase the data hidden, the quality of image will be effected, in fact, the second challenge is the quantity of data hidden vs. quality of image. In this research we will overview the use of data hiding techniques in digital images. In particular we will describe on how one can use the human vision system and pure steganography to increase the size of the data that we want to embed in the image. We will focused on the property of human vision system that help to increase the amount of data hiding in the bitmap (.bmp) and (.JPG) image practically and improve the work by given result and make a brief discussion on this result, many point this research was focusing on, such as the feature of the increasing the size of data hidden and the Quality of image also the result was good.

Item Type: Thesis (Masters)
Subjects: Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Depositing User: MS NOOR ZAKIRA ZULRIMI
Date Deposited: 15 Jul 2013 07:14
Last Modified: 15 Jul 2013 07:14
URI: http://repository.um.edu.my/id/eprint/385

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