dc.contributor.author | Du, Hui | en_US |
dc.contributor.author | Jin, Xiaogang | en_US |
dc.contributor.author | Mao, Xiaoyang | en_US |
dc.contributor.editor | C. Bregler, P. Sander, and M. Wimmer | en_US |
dc.date.accessioned | 2015-02-28T08:14:33Z | |
dc.date.available | 2015-02-28T08:14:33Z | |
dc.date.issued | 2012 | en_US |
dc.identifier.issn | 1467-8659 | en_US |
dc.identifier.uri | http://dx.doi.org/10.1111/j.1467-8659.2012.03213.x | en_US |
dc.description.abstract | We 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. | en_US |
dc.publisher | The Eurographics Association and Blackwell Publishing Ltd. | en_US |
dc.title | Digital Camouflage Images Using Two-scale Decomposition | en_US |
dc.description.seriesinformation | Computer Graphics Forum | en_US |