PROJECT TITLE :
A New Secret Image Sharing Scheme Based On Compressed Sensing - 2017
In ancient secret image sharing schemes, all the information of a secret image should be processed, which prolongs the algorithm execution. Meanwhile, the inflated information become a burden for network transmission and disk storage when many secret pictures need to be routinely shared. Compressed sensing technology measures the first image perceptually through a correct measurement matrix, and therefore the measured data cowl the vast majority of the useful info of the initial image. While making certain precise reconstruction, the first image is compressed from high dimensional to low dimensional and the amount of image knowledge decreases dramatically. Thus, a range of issues caused by the massive quantity of information in ancient secret image sharing schemes may be solved by compressed sensing. In this paper, we combine the ancient secret image sharing with compressed sensing technology and show through experiments that the proposed technique will clearly cut back the number of information need to be processed and effectively shorten the algorithm execution time. The experimental results reveal that our method can shorten the image sharing time by two.seven% to 57.threep.c and also the image restoration time by three.3percent to fifty seven.seven% under different compression ratios.
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