Infrared Image Denoising Based on Improved Threshold and Inter-scale Correlations of Wavelet Transform
Hui Yang · Acta Automatica Sinica · 2011
In order to remove noise in infrared images more e?ectively,an infrared image denoising method based on improved threshold and inter-scale correlations of wavelet transform is proposed.On the one hand,by using the threshold correction scheme and the new thresholding function,the wavelet threshold denoising method is improved.On the other hand,by utilizing inter-scale correlations to estimate wavelet coe?cients near a threshold,the accuracy to estimate wavelet coe?cients with threshold is increased.Experimental results show that compared to the wavelet threshold denoising method,the proposed method is more e?ective in infrared image denoising,achieves higher peak signal-to-noise ratio(PSNR),edge preserved index(EPI) and better visual quality,and has a good practicability.