Vector-quantization-based reversible information hiding and extraction method
A vector quantization and information hiding technology, which is applied in the field of reversible information hiding and extraction based on vector quantization, can solve the problems of incomplete recompression of index tables, high correlation requirements, and unobvious image effects, etc.
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[0062] We choose Matlab7.0 as the software platform to program the design of the present invention. The implementation process is to select 512×512 standard test images "lena.bmp", "f16.bmp", "peppers.bmp" and "baboon.bmp" as the four test images (as attached Figure 7 Shown). The vector quantization codebook used in the experiment is obtained by LBG (Linde-Buzo-Gray) algorithm training, and its length is 256. The created layered status codebook is divided into 3 layers, the length of the first and second layers is 8, and the length of the third layer is 240. Randomly generate secret information, the secret information is 10100000111010101...
[0063] The specific steps are:
[0064] Ⅰ. The vector quantization coding and secret information hiding of the test image at the sender include the following steps:
[0065] The first step is to perform vector quantization coding on the test image to obtain the index table:
[0066] 1. Read in a 512×512 test image S, divide it into non-over...
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