Stripe noise removal for infrared images using guided filter

Shengwei Zhang; Wei Xiang; Baoshu Xu; Bin Feng

doi:10.1117/12.2247044

1 November 2016 Stripe noise removal for infrared images using guided filter

Shengwei Zhang, Wei Xiang, Baoshu Xu, Bin Feng

Proceedings Volume 10157, Infrared Technology and Applications, and Robot Sensing and Advanced Control; 101572R (2016) https://doi.org/10.1117/12.2247044
Event: International Symposium on Optoelectronic Technology and Application 2016, 2016, Beijing, China

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.

Citation Download Citation

Shengwei Zhang, Wei Xiang, Baoshu Xu, and Bin Feng "Stripe noise removal for infrared images using guided filter", Proc. SPIE 10157, Infrared Technology and Applications, and Robot Sensing and Advanced Control, 101572R (1 November 2016); https://doi.org/10.1117/12.2247044

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