Du, HuiJin, XiaogangMao, XiaoyangC. Bregler, P. Sander, and M. Wimmer2015-02-282015-02-2820121467-8659https://doi.org/10.1111/j.1467-8659.2012.03213.xWe present an alternative approach to create digital camouflage images which follows human's perception intuition and complies with the physical creation procedure of artists. Our method is based on a two-scale decomposition scheme of the input images. We modify the large-scale layer of the background image by considering structural importance based on energy optimization and the detail layer by controlling its spatial variation. A gradient correction is presented to prevent halo artifacts. Users can control the difficulty level of perceiving the camouflage effect through a few parameters. Our camouflage images are natural and have less long coherent edges in the hidden region. Experimental results show that our algorithm yields visually pleasing camouflage images.10.1111/j.1467-8659.2012.03213.x