摘要
自动色彩均衡算法模拟人眼视觉特性对图像进行增强,效果突出,但其缺点在于计算负荷较大,速度性能较差。提出了一种改进的自动色彩均衡快速算法,将多层卷积技术与自动色彩均衡算法结合,同时将全局信息与局部信息融合,极大地提高了算法的速度性能。对比实验结果表明,本算法解决了之前自动色彩均衡快速算法的"中性灰"问题,能快速有效地对高动态彩色图像进行增强。
Automatic color equalization (ACE) algorithm simulates the human visual system and has rather good performance in color image enhancement. But it has fairly poor speed performance for its heavy computational load. An improved fast automatic color equalization algorithm is proposed. This algorithm, inherited from original ACE algorithm and multi-layer convolution technology ,achieves satisfactory speed performance by fusing the global information and the local information. Comparative experimental results indicate that the proposed algorithm solves the "Neutral Gray" problem of former fast ACE algorithm and can enhance the high dynamic range color images effectively and efficiently.
出处
《无线电通信技术》
2009年第5期44-47,共4页
Radio Communications Technology
基金
上海市博士后科研资助计划项目(08R214122)
关键词
自动色彩均衡
快速算法
中性灰
automatic color equalization
fast algorithm
neutral gray