在实时图像处理系统中,图像的分辨率和系统的计算量之间总存在矛盾.高分辨率意味着大数据量和较大的计算量,但较低的分辨率又会影响图像处理的质量.为了解决图像数据量和分辨率之间的矛盾,根据玫瑰扫描视场中心区域扫描频率高,扫描迹线密;边缘区域扫描频率低,扫描迹线疏的特点,提出了在玫瑰扫描红外亚成像系统中应用高斯型非均匀采样函数进行非均匀采样的新方法.讨论了图像数据量和分辨率与非均匀采样参数之间的关系,在此基础上给出了确定非均匀采样参数的方法.

According to the characteristics of high/low scan frequency and dense/sparse scan tracks in central/fringing area of field of view of rosette scanning, a novel unequally spaced sampling method be used in rosette scanning infrared imaging subsystem is proposed to meet the reguirements of short processing time and good image quality. The experimental results show that the optimum unequally spaced sampling function is gaussian. The relations among image data quantity, resolution and unequally spaced sampling parameters are discussed in detail and the method of parameter determination is consequently given.