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Proceedings Paper

Stripe noise removal for infrared images using guided filter
Author(s): Shengwei Zhang; Wei Xiang; Baoshu Xu; Bin Feng
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Paper Abstract

Pixels of different columns in the infrared Focal Plane Array (FPA) have different readout circuit channels, amplifiers in different channels, different 1/f noise characteristics. Such noise may cause obvious stripe noise in the infrared images and degrades the quality of captured images. First, 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 came 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.

Paper Details

Date Published: 1 November 2016
PDF: 9 pages
Proc. SPIE 10157, Infrared Technology and Applications, and Robot Sensing and Advanced Control, 101572R (1 November 2016); doi: 10.1117/12.2247044
Show Author Affiliations
Shengwei Zhang, Shenyang Institute of Automation (China)
Univ. of Chinese Academy of Sciences (China)
Key Lab. of Opto-Electronic Information Processing (China)
Wei Xiang, Shenyang Institute of Automation (China)
Key Lab. of Opto-Electronic Information Processing (China)
Baoshu Xu, Shenyang Institute of Automation (China)
Key Lab. of Opto-Electronic Information Processing (China)
Bin Feng, Shenyang Institute of Automation (China)
Key Lab. of Opto-Electronic Information Processing (China)


Published in SPIE Proceedings Vol. 10157:
Infrared Technology and Applications, and Robot Sensing and Advanced Control

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