In this paper, a multiple frequency band watermarking algorithm based on stripe image is proposed. The algorithm converts watermark string representing the copyright of image works to stripe image before embedding it to host image. Because of the error correction ability of the stripe image, the algorithm takes on high robustness. This paper also proposed a multiple frequency band embedding strategy through analyzing and classifying various watermark attacking algorithm. Applying this algorithm, watermark can stand several kinds of attacks such as low pass filter and high pass filter. Experimental results show that a blind watermarking algorithm with high robustness to various watermark attacking can be achieved through combining stripe image coding and multiple frequency band strategy.
In this paper, we proposed a new edge tracing method with high robustness to noise. Through representing edge with maximal gradient path encoded by chain code, the edge tracing problems can be converted into combinatorial optimization problems, and so they can be solved by genetic algorithm. We optimized the traditional genetic algorithm in order to improve the convergence rate. Our method is effective to edges with any shape because it does not require any prior knowledge about the edges. In this paper we also discussed the problem of edge winding and folding and expatiated how to avoid it by designing proper gene coding method and punishment function. Furthermore, by transforming the region of interests from Cartesian coordinates to polar coordinates before edge tracing, this method can be used for closed edges. The experimental results show this is an effective edge tracing method with high robustness and flexibility.
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