›› 2013, Vol. 26 ›› Issue (10): 83-.

• Articles • Previous Articles     Next Articles

Improved Algorithm for Removing Stripe Noise of Infrared Images

SHAO Xiaopeng,JIN Zhenhua,WANG Yang   

  1. (School of Technical Physics,Xidian University,Xi'an 710071,China)
  • Online:2013-10-15 Published:2013-10-23


Due to the inconsistent response characteristics of infrared focal plane array detection units,stripping noise present in the infrared images affects the infrared image seriously both in quality and resolution.Based on the mechanism for the stripe noise of infrared image and the traditional moment matching method,this paper makes use of the angle of image grayscale average and variance and the characteristics of less data and rich content of the inferred images,and introduces the piecewise polynomial fitting and median pretreatment to the destripping algorithm.Theoretical analysis and experimental results show that the improved polynomial fitting filtering method and piecewise fitting filtering method based on median pretreatment are simple,practical,and can effectively eliminate stripe noise in infrared images to improve the image signal-to-noise ratio.

Key words: infrared image destripping piecewise polynomial fitting median pretreatment

CLC Number: 

  • TN219