ICTACT Journal on Image and Video Processing

N. Mohananthini ¹, G. Yamuna ¹

Affiliations
1 Department of Electrical Engineering, Annamalai University, IN

Abstract

A multiple color image segmented watermarking scheme based on discrete wavelet transform (DWT) and singular value decomposition (SVD) is presented. In the proposed approach, the original image is segmented into two sub images, and then the two color watermarks are embedded in the singular values of each sub image separately. In the extraction process the watermarks are extracted from the singular values of the watermarked sub images. The segmentation of multiple watermarking processes makes the watermarks much more robust to the attacks such as noise, filtering, compression, rotation, cropping, translation, sharpening, smoothing, row-column blanking Intensity transformation, and row-column copying. The optimization on segmented watermarking achieves more imperceptibility and robustness.

Keywords

Discrete Wavelet Transforms, Singular Value Decomposition, Segmented Watermarking, Optimization, Genetic Algorithm.

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G. Yamuna ¹, D. Sivakumar ²

Affiliations
1 Department of Electrical and Electronics Engineering, Annamalai University, Tamil Nadu, IN
2 Department of Electronics and Instrumentation Engineering, Annamalai University, Tamil Nadu, IN

Abstract

Copyright protection is considered as an issue of vital significance owing to the escalating utilization of internet and effortless copying, tampering and distribution of digital images. Digital watermarking methodologies are looked upon as a competent tool for safeguarding the digital images from copyright infringements issues. A number of researches in existence deal with copyright protection with the aid of watermarking. Recently, wavelet domain based watermarking ap-proaches are gaining popularity in watermarking researches. In this paper we have proposed a novel watermarking scheme for copyright protection in digital images. The watermarking is performed in wave-let domain using bi-orthogonal wavelet transform. As the proposed approach is non-blind, it requires original image for extracting the watermark. The watermark image is a binary image. The watermark image is embedded in the HH sub-band of the wavelet transformed original image. A Good quality of watermarked image is assured through the proposed scheme from the higher PSNR values which is evident from experimental result.

Keywords

Digital Watermarking, Copyright Protection, Non-Blind, Discrete Wavelet Transform, Bi-Orthogonal.

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