This paper presents an optimized watermarking scheme based on the discrete wavelet transform (DWT) and singular value decomposition (SVD). The singular values of a binary watermark are embedded in singular values of the LL3 sub-band coefficients of the host image by making use of multiple scaling factors (MSFs). The MSFs are optimized using a newly proposed Firefly Algorithm having an objective function which is a linear combination of imperceptibility and robustness. The PSNR values indicate that the visual quality of the signed and attacked images is good. The embedding algorithm is robust against common image processing operations. It is concluded that the embedding and extraction of the proposed algorithm is well optimized, robust and show an improvement over other similar reported methods.

Optimized gray-scale image watermarking using DWT-SVD and Firefly Algorithm

In this paper, a new optimal watermarking scheme based on lifting wavelet transform (LWT) and singular value decomposition (SVD) using multi-objective ant colony optimization (MOACO) is presented. The singular values of the binary water- mark are embedded in a detail subband of host image. To achieve the highest possible robustness without losing watermark transparency, multiple scaling factors (MSF) are used instead of a single scaling factor (SSF). Determining the optimal values of the mul- tiple scaling factors (MSF) is a dicult problem. However, to determine these values, a multi-objective ant colony-based optimization method is used. Experimental results show much improved performances in terms of transparency and robustness for the proposed method compared to other watermarking schemes. Furthermore, the proposed scheme does not suer from the problem of high probability of false positive detections of the watermarks.

Optimal Image Watermarking Algorithm Based on LWT-SVD via Multi-objective Ant Colony Optimization

A novel gray-scale image watermarking using hybrid Fuzzy-BPN architecture

In this paper, we propose a hybrid robust digital watermarking algorithm based on singular value decomposition (SVD) and lifting wavelet transform (LWT). In contrast to other watermarking algorithms based on wavelet transforms which exploit the human visual system (HVS), proposed method does not require to use HVS characteristics. After decomposing the cover image into a two-level lifting wavelet transform, we compute the inverse LWT of a selected subband (SB). The watermark embedding procedure is done by modifying singular values. Experimental results demonstrate that this method is robust against several attacks such as: noise addition, histogram equalization, gamma correction, JPEG compression, cropping, rotation and randomly line and column removal.

Hybrid watermarking algorithm based on SVD and lifting wavelet transform for ownership verification

We present a new optimal watermarking scheme based on discrete wavelet transform (DWT) and singular value decomposition (SVD) using multiobjective ant colony optimization (MOACO) A binary watermark is decomposed using a singular value decomposition Then, the singular values are embedded in a detailed subband of host image The trade-off between watermark transparency and robustness is controlled by multiple scaling factors (MSFs) instead of a single scaling factor (SSF) Determining the optimal values of the multiple scaling factors (MSFs) is a difficult problem However, a multiobjective ant colony optimization is used to determine these values Experimental results show much improved performances of the proposed scheme in terms of transparency and robustness compared to other watermarking schemes Furthermore, it does not suffer from the problem of high probability of false positive detection of the watermarks

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Image Watermarking Algorithm Based on Multiobjective Ant Colony Optimization and Singular Value Decomposition in Wavelet Domain

This paper proposes a binary image digital watermarking scheme based on the combination of discrete wavelet transform (DWT) and vector transform (VT). Experimental results show that this scheme keeps the image quality rather good and has better robustness to common signal processing operations such as adding noise, filtering and JPEG lossy compression.

A digital watermarking scheme based on DWT and vector transform

Digital watermarking is deemed as a novel technique for copyright of digital products protecting and has aroused extensive interests in recent years. Based on the properties of the Karhunen-Loeve transform (K-L) and the singular value decomposition (SVD), this paper proposes a novel multifunction watermarking algorithm, the experimental results show that the watermarking algorithm has good transparency and robust, especially against the geometrical operations and JPEG lossy compression.

http://ieeexplore.ieee.org/iel5/9834/30993/01452796.pdf

Li Lu

Papers

A digital watermarking scheme based on DWT and vector transform

Study on a multifunction watermarking algorithm

A digital watermarking scheme based on DWT and vector transform