Reversible watermarking method based on image topological structure
A topology and watermarking technology, applied in image data processing, image data processing, instruments, etc., can solve problems such as the decline of visual hiding effect, and achieve the effect of improving visual quality and hiding capacity
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Embodiment 1
[0058] A binary image reversible watermarking method based on image topology, the method includes:
[0059] Part 1: Reversible Watermark Embedding of Binary Image Based on Image Topology
[0060] For the convenience of algorithm description, figure 1 Terms and notations frequently used in this invention are given, as well as examples for 3x3 blocks. In a block, if two black pixels are adjacent vertically or horizontally, the two black pixels are called adjacent. Each black pixel corresponds to a vertex, and two adjacent black pixels set an edge. Therefore, a block can correspond to a graph. A border refers to a set of white pixels adjacent to a set of black pixels. In addition, the weight of a block is the number of black pixels in it. For an n1×n2 block, we assign a sequence number from the upper left corner, 0,1,…,n1×n2-1, so the value of a block is Such as figure 1 As shown in , the weight of the block is 5, the boundary is {0,2,3,5}, and the value of the block is 1...
Embodiment 2
[0094] The binary image reversible watermarking method based on the image topology and the existing gray image reversible watermarking algorithm in the spatial domain are combined. The grayscale image reversible watermarking method based on the image topology includes
[0095] Part 1: Reversible watermark embedding of grayscale images based on image topology
[0096] For the convenience of algorithm description, we consider a grayscale image G whose size is M*N pixels, where both M and N are integer multiples of 3, and grayscale images that are not integer multiples of 3 are used for boundary processing. The flow chart of the reversible watermark embedding method for grayscale images based on image topology is attached Figure 11 shown.
[0097] 1) Embed the first layer of watermark information in the grayscale image G by using the histogram translation algorithm, the difference expansion algorithm based on the prediction error, etc., to obtain the grayscale image W containin...
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