Infrared Image Denoising Based on Stationary Wavelet Transform

摘要

Firstly, infrared image is decomposited using stationary wavelet transform, it is proposed based onstationary wavelet transform with Interscale and Intrascale Dependencies for infrared image denoising. Thenthe minimum mean square-error estimation is applyed to estimated coefficient. The wavelet coefficients arerevised using the correlations between coefficients at the same scale. The denoised image is obtained throughinverse wavalet transform. The experimental results show the infrared image can be denoised better than themethod neglecting the correlations between Intrascales and have a well SNR as well as the visual quality.