Infrared image denoising based on stationary wavelet transform
Zhihong Xiao, Shi Jiale, Guan Zongqi · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2010
Firstly, infrared image is decomposited using stationary wavelet transform, it is proposed based on stationary wavelet transform with Interscale and Intrascale Dependencies for infrared image denoising. Then the minimum mean square-error estimation is applyed to estimated coefficient. The wavelet coefficients are revised using the correlations between coefficients at the same scale. The denoised image is obtained through inverse wavalet transform. The experimental results show the infrared image can be denoised better than the method neglecting the correlations between Intrascales and have a well SNR as well as the visual quality.