Key Dependent Feature Point Based Image Watermaking Scheme

Ramesh Surapathi; Kamalika Datta; I. Sengupta

Advances in Computer Science and Information Technology. Computer Science and Engineering. Second International Conference, CCSIT 2012, Bangalore, India, January 2-4, 2012. Proceedings, Part II

Research Article

Key Dependent Feature Point Based Image Watermaking Scheme

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@INPROCEEDINGS{10.1007/978-3-642-27308-7_53,
    author={Ramesh Surapathi and Kamalika Datta and I. Sengupta},
    title={Key Dependent Feature Point Based Image Watermaking Scheme},
    proceedings={Advances in Computer Science and Information Technology. Computer Science and Engineering. Second International Conference, CCSIT 2012, Bangalore, India, January 2-4, 2012. Proceedings, Part II},
    proceedings_a={CCSIT PATR II},
    year={2012},
    month={11},
    keywords={Image watermarking DWT Feature point extraction Harris detector},
    doi={10.1007/978-3-642-27308-7_53}
}

Ramesh Surapathi
Kamalika Datta
I. Sengupta
Year: 2012
Key Dependent Feature Point Based Image Watermaking Scheme
CCSIT PATR II
Springer
DOI: 10.1007/978-3-642-27308-7_53

Ramesh Surapathi¹, Kamalika Datta¹, I. Sengupta²

1: KIIT University
2: Indian Institute of Technology Kharagpur

Abstract

An approach to a blind discrete Wavelet Transformation (DWT) domain feature point based image watermarking technique is proposed in this paper. The embedding of the watermark is performed into the image feature points defined by the Harris detector and the additional feature points are generated from the existing feature points using a key dependent algorithm. The proposed method is simple and secure. It is also experimentally found to be robust against various geometric and noise attacks.

Keywords: Image watermarking DWT Feature point extraction Harris detector

Published: 2012-11-09

: http://dx.doi.org/10.1007/978-3-642-27308-7_53