一种改进的Bayer图像彩色恢复差值算法  

Improved Interpolation Algorithm for Demosacing Bayer Pattern Images

作　　者：尹勇[1] 胡磊[1] 

机构地区：[1]武汉理工大学信息工程学院,武汉430070

出　　处：《计算机科学》2010年第4期278-280,共3页Computer Science

摘　　要：图像传感器采集到的都是经过滤波镜.片后的Bayer格式马赛克图像,为了恢复丢失掉的色彩信息,必须经过插值计算。针对图像采集系统处理的实时性要求,结合自适应插值法和三角函数法则,提出了一种适用于硬件实现的新算法。给出对算法性能的评估数据和MATLAB仿真图片,对比了算法的处理效果,最后基于实际应用的需求对该算法的硬件实现难度进行了分析。实验结果证明,改进算法在图像边缘的处理上效果更好,基于硬件的实现方式也能保证系统的实时性。Image sensors can only gain the Bayer pattern pictures which are filtered by CFA. In order to get the full colour information, the other two missing colour samples must he interpolated. An algorithm based on Hamilton-Adam interpolation and trigonometric function rule was presented, which can satisfy the demand of real-time system, and can be implemented by hardware easily. Then statics and simulation pictures produced by matlab were given to estimate this algorithm,and the difficulty of the implement for the algorithm on hardware was discussed at the end. The results of experiments proved that the algorithm can restore the edges of the pictures better,and can provide satisfying speed when implied on hardware.

关 键 词：插值算法 彩色滤波阵列 BAYER格式 硬件 FPGA 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]