Secret image share method based on block compressed sensing
A block compressive sensing and secret image technology, applied in the field of secret image sharing based on block compressive sensing, can solve the diversity of reconstructed image quality requirements without considering channel bandwidth changes, the flexible application of secret image sharing technology, and the inability to Adapt to bandwidth changes, etc.
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[0081] We choose Matlab7.0 as the software platform, and program to realize the design of the scheme of the present invention. In the implementation process, the standard test image "Lena" of 512×512 is selected as the secret image. According to the channel conditions, the observation rate MR=0.4, the block size B=32 are selected, and r=2, m=4 are selected in the Shamir threshold scheme.
[0082] The specific operation steps are:
[0083] Ⅰ. The sender part, including the following steps:
[0084] Step 1, Block Compressive Sensing Coding:
[0085] ⑴. Read in the secret image, and divide the secret image into non-overlapping, 32×32 image blocks;
[0086] ⑵. Arrange each image block into a 1024×1 column vector x i , i represents the i-th image block;
[0087] ⑶. Generate an orthogonal independent and identically distributed Gaussian random matrix of size 410×1024 as the block observation matrix Φ B ;
[0088] ⑷. Use formula (1) for BCS observation for each image block:
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