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Digital Camouflage Images Using Two‐scale Decomposition
Author(s) -
Du Hui,
Jin Xiaogang,
Mao Xiaoyang
Publication year - 2012
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/j.1467-8659.2012.03213.x
Subject(s) - camouflage , computer science , artificial intelligence , computer vision , scale (ratio) , perception , intuition , decomposition , pattern recognition (psychology) , computer graphics (images) , geography , cartography , neuroscience , biology , ecology , philosophy , epistemology
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.