Primal sketch based visual entropy model for digital watermarking

In this paper, we study the effect of an entropy model in a watermarking system on two aspects: visual information measurement and united masking function. We propose a primal sketch based visual entropy model (short for PSVEM) for the watermarking system. The PSVEM is built on both image content analysis and hierarchical perception decomposition. Experimental results show that the digital watermarking algorithm based on PSVEM could well defend against cropping, additive noise and JPEG compression attacks.