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Chinese Optics Letters

Chinese Optics Letters

| PUBLISHED MONTHLY BY CHINESE LASER PRESS AND DISTRIBUTED BY OSA

  • Vol. 5, Iss. 2 — Feb. 10, 2007
  • pp: 74–76

A new adaptive nonuniformity correction algorithm for infrared line scanner based on neural networks

Jing Sui, Liquan Dong, Weiqi Jin, and Yayuan Zhang  »View Author Affiliations


Chinese Optics Letters, Vol. 5, Issue 2, pp. 74-76 (2007)


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Abstract

The striping pattern nonuniformity of the infrared line scanner (IRLS) severely limits the system performance. An adaptive nonuniformity correction (NUC) algorithm for IRLS using neural network is proposed. It uses a one-dimensional median filter to generate ideal output of network and can complete NUC by a single frame with a high correction level. Applications to both simulated and real infrared images show that the algorithm can obtain a satisfactory result with low complexity, no need of scene diversity or global motion between consecutive frames. It has the potential to realize real-time hardware-based applications.

© 2007 Chinese Optics Letters

OCIS Codes
(040.3060) Detectors : Infrared
(100.2550) Image processing : Focal-plane-array image processors
(100.2980) Image processing : Image enhancement
(200.4260) Optics in computing : Neural networks

Citation
Jing Sui, Liquan Dong, Weiqi Jin, and Yayuan Zhang, "A new adaptive nonuniformity correction algorithm for infrared line scanner based on neural networks," Chin. Opt. Lett. 5, 74-76 (2007)
http://www.opticsinfobase.org/col/abstract.cfm?URI=col-5-2-74


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