In this paper, Hopfield network is introduced for the restoration of extracted watermark image which may be blurred due to the signal transfer or various signal processing operations. A novel codebook method is designed to reduce the storage space of the network and to increase the security. First, each watermark image is divided into adjacent and non-overlapped sub-block images and mapped into a codebook. Second, this codebook is encrypted by a chaotic sequence. During the process of watermark restoration, the codebook can be obtained via a secret key which is then used to construct block weight matrix of the neural network for the restoration of the blurred watermark images. Simulation results demonstrate the excellent performance of the proposed method. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
Ma, X., Li, X., & Liang, H. (2009). Watermark image restoration method based on block hopfield network. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5553 LNCS, pp. 365–370). https://doi.org/10.1007/978-3-642-01513-7_39
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