Chinese Optics Letters, Volume. 8, Issue 2, 146(2010)

Sub-pixel processing algorithm of the reducing boundary recursive error in staring FPA micro-scanning imaging

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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    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.

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    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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    Paper Information

    Received: Apr. 24, 2009

    Accepted: --

    Published Online: Mar. 5, 2010

    The Author Email:

    DOI:10.3788/COL20100802.0146

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