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Chinese Optics Letters

Chinese Optics Letters


  • Vol. 8, Iss. 2 — Feb. 1, 2010
  • pp: 146–150

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  »View Author Affiliations

Chinese Optics Letters, Vol. 8, Issue 2, pp. 146-150 (2010)

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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 eect 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.

© 2010 Chinese Optics Letters

OCIS Codes
(100.2000) Image processing : Digital image processing
(100.3020) Image processing : Image reconstruction-restoration
(100.3008) Image processing : Image recognition, algorithms and filters
(110.4155) Imaging systems : Multiframe image processing

Yan Chen, Weiqi Jin, Lingxue Wang, and Xia Wang, "Sub-pixel processing algorithm of the reducing boundary recursive error in staring FPA micro-scanning imaging," Chin. Opt. Lett. 8, 146-150 (2010)

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