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Stripe Noise Removal for Infrared Images Using Guided Filter
Zhang SW(张盛伟); Xiang W(向伟); Xu BS(徐保树); Feng B(冯斌)
Conference NameInternational Symposium on Infrared Technology and Application and the International Symposiums on Robot Sensing and Advanced Control
Conference DateMay 9-11, 2016
Conference PlaceBeijing
Source PublicationProceedings of SPIE - The International Society for Optical Engineering
Publication PlaceBellingham, WA
Indexed ByEI ; CPCI(ISTP)
EI Accession number20170503310142
WOS IDWOS:000391228600097
Contribution Rank1
KeywordNon-uniformity Correction Stripe Noise Blurred Image Guided Filter

Pixels of different columns in the infrared focal plane array (FPA) have different readout circuit channel, amplifiers in different channel different 1/f noise characteristics. Such noise may cause obvious stripe noise in the infrared images and degrades the quality of captured images. Firstly, analyzed a stripe noise removal method making use of blurred infrared image based on average filter and pointed out the limitation in this method. Then gave the reason that lead to the limitation. On the basis of this, introduced guided filter, and come up with an acquiring strip noise correction term method using 1D guided filter to handle the average row vector of the blurred image. The simulation experiment shows that this method is effective and efficient in removing stripe noise. Moreover, this method has a low time complexity, and can be easily implemented in the project.

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Document Type会议论文
Corresponding AuthorZhang SW(张盛伟)
Affiliation1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China
2.University of Chinese Academy of Sciences, Beijing, 100049, China
3.Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Science, Shenyang, 110016, China
Recommended Citation
GB/T 7714
Zhang SW,Xiang W,Xu BS,et al. Stripe Noise Removal for Infrared Images Using Guided Filter[C]. Bellingham, WA:SPIE,2016:1-9.
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