الفهرس 
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Abstract
Digital watermarking is one of the most important techniques in the field of
computer security. A watermarking technique usually used for data authentication and copyright protection applications, which makes digital watermarking the most
widely used technology to protect the contents of multimedia data. Currently, the utilization of the imaging technologies and their applications has increased. This increase of demand has been accompanied with several illegal actions including illegal copying, unauthorized access, modification, and malicious distributions.
In this thesis, a proposed image watermarking system based on Least Significant Bit and image processing techniques is presented to increase the security level of images into social media sites. The proposed system uses variants of widely used Least Significant Bit (LSB) watermarking technique in tandem with a blob
detection technique to embed secret watermarks into the boundary pixels of the largest blob of a digital image. This system is an invisible blind image
watermarking. The proposed system is tested using several experiments and techniques, which are followed by uploading the watermarked images into a social media sites to evaluate the probability of extracting the embedding watermarks. The results show
that the proposed approach outperform the traditional LSB algorithm in terms of time and evaluation criteria. The simulation results show the validity and
effectiveness of the proposed image watermarking technique into social media
sites. Matlab software is used as a tool in this thesis analysis.