International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 15 - Number 5 |
Year of Publication: 2011 |
Authors: S.M.Ramesh, Dr.A.Shanmugam, B.Gomathy |
10.5120/1947-2604 |
S.M.Ramesh, Dr.A.Shanmugam, B.Gomathy . Comparison and Analysis of Self-Reference Image with Meaningful Image for Robust Watermarking Algorithm based on Visual Quality and Fidelity. International Journal of Computer Applications. 15, 5 ( February 2011), 8-13. DOI=10.5120/1947-2604
This paper presents a comparison and analysis of recently developed watermarking algorithms. Digital watermarking has been regarded as a vital technique for safeguarding the copyright of digital contents. A digital watermarking method is said to be effective if the watermark embedded in an image by it could survive against diverse attacks ranging from compression, filtering to cropping. The performance of the watermarking algorithms is analyzed and to estimate and compare robustness of watermarking algorithms by considering the visual quality of the original and watermarked images in terms of Peak Signal to Noise Ratio. Furthermore, the extracting fidelity of the watermarking algorithms is compared by taking the Normalized Correlation value between the original watermark and the extracted watermark. The experimental results showed the accuracy of different watermarking algorithms in terms of visual quality and fidelity.