• Chinese Optics Letters
  • Vol. 8, Issue 2, 146 (2010)
Yan Chen, Weiqi Jin, Lingxue Wang, and Xia Wang
Author Affiliations
  • School of Optoelectronics, Beijing Institute of Technology, Beijing 100081, China
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    DOI: 10.3788/COL20100802.0146 Cite this Article Set citation alerts
    Yan Chen, Weiqi Jin, Lingxue Wang, Xia Wang. Sub-pixel processing algorithm of the reducing boundary recursive error in staring FPA micro-scanning imaging[J]. Chinese Optics Letters, 2010, 8(2): 146 Copy Citation Text show less

    Abstract

    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 e?ect of this algorithm is better than the over-sample 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.
    Yan Chen, Weiqi Jin, Lingxue Wang, Xia Wang. Sub-pixel processing algorithm of the reducing boundary recursive error in staring FPA micro-scanning imaging[J]. Chinese Optics Letters, 2010, 8(2): 146
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