基于E-D抖动的自适应数码迷彩转化算法

Self-adaptive Digital Camouflage Algorithm Based on E-D Dither

为快速有效地生成伪装适应性更强的数码迷彩,提出一种传统迷彩至数码迷彩的自适应转换算法。在迷彩原图的色彩分析基础上,确定主色数量并生成主色列表,利用E-D抖动良好的半调视觉特性,结合图像缩放、低通滤波等方法,按设定的方块大小自动生成数码迷彩图。实验证明,生成图既保持了迷彩原图的颜色及纹理特征,也具备了不规则的、锯齿状的边缘特征,有效地提高迷彩的伪装隐蔽性能。

To efficiently achieve digital camouflage with better concealing adaptability, a self-adaptive camouflage transform algorithm from traditional to digital is prevented, which makes use of the nice halftone optical effect of E-D dither. It finds out the main color number and creates main color table by analysing the original camouflage colors. Combined with images zooming and low-pass filtering methods, the digital camouflage can be automatically generated according to appointed size of square. Experimental results show that, the output camouflage can not only keep the color and texture characters of original image, but also has the irregular and dentate edge, thus effectively improves the concealing capability of camouflage.