Computer Science ›› 2015, Vol. 42 ›› Issue (4): 281-284.doi: 10.11896/j.issn.1002-137X.2015.04.058

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Infrared Image De-noising Method Based on Genetic Wavelet of TLS

WU Ying-chang, LUO Dian-sheng and HE Hong-ying   

  • Online:2018-11-14 Published:2018-11-14

Abstract: In order to remove noise in infrared images more effectively,an infrared image de-noising method based on genetic wavelet of TLS (Total Least Squares) was presented.This method takes the image de-noised by TLS as male and the image de-noised by wiener filter as female to select,cross and mutate.The dominant gene which is extracted from TLS wavelet de-noising and wiener filtering is called as optimal offspring and decoded into image.Experimental results show that compared to conventional methods,the method effectively removes the noise,and has higher SNR(signal-to-noise rate) and smaller MSE(minimizes the mean squared error).

Key words: Total least squares (TLS),Infrared image,Genetic wavelet,De-noising

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