Research On Robust Watermarking Based On Fruit Fly Optimization Algorithm

This dissertation focuses on robust digital watermarking based on fruit fly optimization algorithm.Through fruit fly optimization algorithm selects the watermark scaling factor to improve the robustness of watermark.At first,digital watermarking algorithm based on fruit fly optimization algorithm is proposed in wavelet domain combining with wavelet theory.After the original image is decomposed by discrete wavelet transform and the watermark information is encrypted by Arnold transform,the watermark is embedded by using FOA to select the best scaling factor.Secondly,combined with the singular value decomposition technique,the sub-graph of DWT transform is decomposed by singular value,to complete the embedding.The selected scaling factor is evaluated by using wavelet domain and singular value decomposition.In evaluating the performance of the watermarking algorithm,the dissertation uses the two indicators of the peak signal to noise ratio and the normalized correlation coefficient.After the experimental verification,this method can resist the common attacks such as lossy compression,geometric attack,noise attack and so on,and the watermark normalized correlation coefficient is above 0.9,which has strong robustness and good transparency.