merged

Grey-Scale Image Watermarking Using Least significant Bits (LSB) Insertion
and Canny Edge Detection
Siti Nurul Fasihah Binti Asseri
Supervisor: Prof Dr. Ghazali Sulong
Bachelor of Computer Science (Software Engineering)
School of Informatics and Applied Mathematics
The growth of internet had change the form of image which is analogue image to digital
image. Copyright infringement of digital images has become a major concern amongst
netizens. One of the solutions is digital watermarking -process of embedding a piece of
code in a digital image in order to provide copyright information. It is quite challenging
to achieve both the desirable robustness and imperceptibility in Digital Watermarking. In
this research greyscale Image Watermarking using least significant bits (LSB) and canny
edge detection is used. The experimental results revealed that the PSNR and NCC values
were more than 30db and 0.6, respectively, which considered achieved both
imperceptibility and robustness.
756 | UMT UNDERGRADUATE RESEARCH DAY 2018