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This paper presents a novel Coprime Blurred Pair (CBP) model for visual data-hiding for security in camera surveillance. While most previous approaches have focused on completely encrypting the video stream, the authors introduce a spatial encryption scheme by blurring the image/video contents to create a CBP. Their goal is to obscure detail in public video streams by blur-ring while allowing behavior to be recognized and to quickly deblur the stream so that details are available if behavior is recognized as suspicious. They create a CBP by blurring the same latent image with two unknown kernels. The two kernels are coprime when mapped to bivariate polynomials in the z domain.
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