Infrared Image Denoising Algorithm Based on Adaptive Threshold NSCT

摘要

A method for infrared image denoising based on the adaptive threshold Nonsubsampled Contourlet Transform (AT-NSCT) was proposed in this paper. It analyzed the construction method on NSCT and proved that the method can be applied to infrared image denoising. The AT-NSCT algorithm was applied to some kinds of infrared images and compared by both in infrared image vision effect and peak value signal to noise ratio, the AT-NSCT algorithm shown better results especially in edge maintenance aspect. From the experiments we concluded that the size of image and the decomposition scales have relations with the result of denoising.