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Optimal Image Watermarking using Hybrid Optimization Algorithm

Optimal Image Watermarking using Hybrid Optimization Algorithm

Satish Ramchandra Todmal, Suhas Haribhau Patil
Copyright: © 2015 |Volume: 5 |Issue: 1 |Pages: 21
ISSN: 2155-6997|EISSN: 2155-6989|EISBN13: 9781522505945|DOI: 10.4018/IJCVIP.2015010102
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MLA

Todmal, Satish Ramchandra, and Suhas Haribhau Patil. "Optimal Image Watermarking using Hybrid Optimization Algorithm." IJCVIP vol.5, no.1 2015: pp.27-47. http://doi.org/10.4018/IJCVIP.2015010102

APA

Todmal, S. R. & Patil, S. H. (2015). Optimal Image Watermarking using Hybrid Optimization Algorithm. International Journal of Computer Vision and Image Processing (IJCVIP), 5(1), 27-47. http://doi.org/10.4018/IJCVIP.2015010102

Chicago

Todmal, Satish Ramchandra, and Suhas Haribhau Patil. "Optimal Image Watermarking using Hybrid Optimization Algorithm," International Journal of Computer Vision and Image Processing (IJCVIP) 5, no.1: 27-47. http://doi.org/10.4018/IJCVIP.2015010102

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Abstract

Image watermarking is a process of embedding secret information into cover image to secure transmission of secret data. Literature presents several image watermarking techniques are based on different transformation such as, wavelet transform, Fourier transform and cosine transform. Most of the authors have been developed an embedding and extraction algorithm newly with the transformed image. Then, the optimal location for embedding the secret data was identified by using optimization algorithm. Accordingly, the authors have developed an optimal robust watermarking technique using genetic algorithm and wavelet transform. In the previous work, watermarks were embedded into the wavelet coefficients of HL and LH band after searching the optimal locations in order to improve both quality of watermarked image and robustness of the watermark. In this work, the authors have developed to improve the genetic algorithm by combining it with Artificial Bee Colony algorithm (ABC Algorithm). Here, they have used hybrid algorithm for finding of optimal location in watermarking process. Finally, the comparative evaluation of the hybrid algorithm will be done with the existing and previous technique using different images and the performance of the extended algorithm will be analyzed using the PSNR, NC with convergence rate.

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