BibTeX:

@article{IJIRSTV2I4010,
     title={AN SVD BASED IMAGE WATERMARKING ALGORITHM BASED ON IMAGE INVARIENT MOMENTS},
     author={Anupriya Singhal and Prof. Vedant Rastogi},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={2},
     number={4},
     pages={81--100},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV2I4010.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

Digital watermarking refers to the process of embedding watermark data in some host media with a view to claim ownership or copyright if the need arises. Digital Image watermarking is the need of time in exponential growing jargon of internet and high speed data transfer. Robustness is a critical aspect of a image watermarking for a wide class of application. It refers to the property of watermark, being resistant against attacks, which includes several image processing operations. There exists several techniques in literature, for robust watermarking against pixel intensity change, jpg compression etc. However, watermarking robustness against cutting and cropping operations is difficult and not much progress has been achieved till date. Majority of the work in watermarking techniques, for robustness against cutting and cropping, proposes a method in which watermark is embedded redundantly in several segments of the images so as to provide resistance against cropping operations in which some area, might containing a useful portion of information is lost. In this dissertation, a watermarking technique is proposed in which watermarking is implemented using SVD decomposition. To achieve robustness, the image invariant moments are computed which are invariant against scaling, rotation and translation. The centroid of the image is calculated and a segment of the image is identified which has least probability of go through some cropping operation in any image processing. The watermark information, encoded in invariant moments is embedded in the selected image segment. At the detector end, the same image segment is located and watermark is detected and extracted. This provides a way of blind and robust watermarking against a large number of attacks. The proposed approach is simulated using MATLAB and the results indicate a considerable improvement in watermark resistance for attacks as compared to existing approaches.

Singular Value Decomposition, Image Invariant Moments. Watermarking Attacks etc.