SLP Header

Spatial Domain base Image Watermarking by Edge Features

IJCSEC Front Page

The development of a geometrical invariant watermarking theme while not degrading image quality is challenging work. Watermarking is that the method that embeds data called a watermark, a tag, or a label into a multimedia object, like pictures, video, or text, for his or her copyright protection. In step with human perception, the digital watermarks can either be visible or invisible. A visible watermark may be a secondary clear image overlaid into the first image and looks visible to a viewer on a careful scrutiny. The invisible watermark is embedded in such a way that the modifications created to the image elements (pixels) value is perceptually not detected, Associate in its usually recovered only with associate applicable secret writing mechanism. So protects the originality of the information this paper has planned a watermarking methodology. This propose works among the spatial domain of the image it embedded watermarking and improve the standard of pictures or powerful against fully completely different fairly attack like noise, filter, compression. The Results show that the work has associate out stand performance at intervals the invisible watermarking theme.
Keywords:Digital Watermarking, Image. Filter, noise, compression, spatial domain.
Watermarking is the process that embeds data called a watermark, a tag, or label into a multimedia object such that the watermark can be detected or extracted later to make an assertion about the object. The object may be an image, audio, video, or text. Changed over peer-to-peer networks, and this has caused major considerations to those content suppliers who manufacture these digital contents. The key purpose of digital watermarking is to seek out the balance among the aspects like robustness to numerous attacks, security and invisibleness. The invisible of watermarking technique relies on the intensity of embedding watermark. Higher invisible is achieved for fewer intensity watermark. Thus we tend to should choose the Optimum intensity to embed watermark. Generally there is slightly balance between the embedding strength and quality (the watermark invisibility). Magnified robustness needs a stronger embedding, that successively will increase the visual degradation of the images. For a watermark to be effective, it ought to satisfy the subsequent options.
A digital watermark is an invisible data embedded inside an image to show authenticity and ownership. An effective digital watermark should be perceptually invisible to prevent obstruction of the original image.
Robustness refers to the ability to detect the watermark, even if the quality of the host data is degraded, intentionally (malicious) or unintentionally (non-malicious). In general, there should be no way in which the watermark can be removed or altered without sufficient degradation of the perceptual quality of the host data so as to render it unusable. The Exact level of robustness the hidden data must possess cannot be specified without considering a particular application.


  1. Hanieh Khalilian, Student Member, IEEE, and Ivan V. Bajic Video “Watermarking With Empirical PCA-Based Decoding” IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 22, NO. 12, DECEMBER 2013.
  2. C. Podilchuk, and W. Zeng “A novel DWT-SVD video watermarking scheme using side view” 978-1-4577-1180-0/11/$26.00 ©2011 IEEE.
  3. TamannaTabassum, W. Zhang et el., S.M. Mohidul Islam “A Digital Image Watermarking Technique Based on Identical Frame Extraction in 3-Level DWT” vol. 13, no. 7, pp. 560 –576, july 2003.
  4. YifeiPu. et el. Frank Hartung, Jonathan K. Su, and Bernd Girod “Spread Spectrum Watermarking: Malicious Attacks and Counterattacks”. of Multimedia Contents” International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
  5. Nallagarla.Ramamurthy and Dr.S.Varadarajan. “Effect of Various Attacks on Watermarked Images. “International Journal of Computer Science and Information Technologies, Vol. 3 (2), 2012, 3582-3587