Wavelet Forward and Backward Diffusion for Infrared Image Denoising and Edge Enhancement
基于小波前向后向扩散的红外图像降噪与边缘增强算法

To achieve infrared image denoising and edge enhancement,a method based on wavelet forward and backward diffusion is introduced.Wavelet forward and backward diffusion is based on wavelet diffusion theory.It not only inherites iterative noise reduction and edge preserving features from wavelet diffusion,but also enhancemented image edge at the same time.In order to solve the problem of using wavelet modulus,it uses both wavelet modulus and local regularity to get elementary edge map,then get accurate edge map with geometric consistency and redesign wavelet forward and backward diffusion equation.Experiment shows that the method can effectively realize infrared image denoising and edge enhancement.