Sparse transformation-based digital blind watermark embedding and extracting method
A sparse transformation and blind watermarking technology, applied in character and pattern recognition, image data processing, image data processing, etc., can solve problems such as difficult watermark construction
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[0058] Embodiment 1: A method for embedding and extracting a digital blind watermark based on sparse transformation, by performing 8×8 non-overlapping blocks on the original image, combining the divided image blocks with a sparse transformation model, and using sparse frequency domain space compression The embedding range, and then estimate the coefficients of each frequency domain component based on the Alpha distribution, and select the frequency domain components with similar distribution for watermark embedding. When watermark is extracted, the original image is not needed, and blind extraction is realized.
[0059] For ease of understanding, the sparse transformation and Alpha stable distribution models are first introduced as follows:
[0060] 1. Sparse transformation
[0061] Sparse transformation model, assuming the signal after transformation can then be sparsely represented, ,in is sparse coding, e is an error. Unlike usual sparse dictionary learning, W I...
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