Stripe Noise Removal for Infrared Images Using 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.