凝视型FPA微扫描成像中减小边框回代误差的亚像元处理算法
摘要
By analyzing the error distribution rule of the boundary recursive reconstruction algorithm in controlled micro-scanning, a sub-pixel image processing algorithm is proposed to reduce the error. The gray statistical principle is used in the algorithm to optimize the error and acquire the sub-pixel image that approximates the original image. The simulation result shows that the effect of this algorithm is better than the oversample and simple boundary recursive algorithm (BRA), and it results in a good effect both in those of visible light and infrared imaging systems. Therefore, the application of this algorithm will enhance the performance of optoelectronic imaging systems.
引用本文（GB/T 7714）
Yan Chen, Weiqi Jin, Lingxue Wang, 等. 凝视型FPA微扫描成像中减小边框回代误差的亚像元处理算法[J]. Chinese Optics Letters, 2010.
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