Fragile Watermark Based on Singular Value Decomposition
Ali Abdulazeez Mohammed Baqer, Nidhal K. El Abbadi · 2022
Electronic files are vulnerable to tampering and corruption. Undetected these changes can alter the meaning and value of critical evidence. In this paper, a new method is suggested to detect any small change in the document based on the singular value decomposition (SVD), this suggestion works on any type of image (color or gray), Color image converted to three channels (red, green, and blue), each channel will be transferred to three matrices by using the SVD transformation. The difference between the first and third matrix for each transformed color channel is determined. This value is the secret key used to detect tampering with the image. Logo can be added to the image and give the same results. Many performance tests were used to prove the efficiency of this suggestion, and it gives very promised results.