Digital Camouflage Images Using Two-scale Decomposition
Digital Camouflage Images Using Two-scale Decomposition
复制标题
使用二尺度分解的数码迷彩图像
DOI：
10.1111/j.1467-8659.2012.03213.x
复制
发表时间：
2012-09-01
影响因子：
2.5
通讯作者：
Mao, Xiaoyang
中科院分区：
文献类型：
--
作者：
Du, Hui;Jin, Xiaogang;Mao, Xiaoyang
提出了一种既遵循人的感知直觉，又符合艺术家物理创作过程的数字迷彩图像生成方法。我们的方法是基于输入图像的两尺度分解方案。我们通过基于能量优化的结构重要性来修改背景图像的大尺度层，通过控制其空间变化来修改细节层。提出了一种梯度校正方法来防止光晕伪影。用户可以通过几个参数来控制感知伪装效果的难度。我们的伪装图像是自然的，并且在隐藏区域中具有较少的长连贯边缘。实验结果表明，我们的算法产生视觉上令人愉快的伪装图像。
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.