Application of Locally Adaptive Wavelet Domain Denosing to X- Ray Image Processing
Zhiqiang Chen · Hedianzixue yu tance jishu · 2011
When imaging in low - dose X - Ray,some noise which obeys the Possion Distribution or the Gauss Distribution will appear,which does harm to the image quality.Now the denosing method for images is mainly based on the Gauss White Noise model,so it is not efficacious to remove the Possion noise in traditional means as the different nature between Possion noise and Gauss White noise.The locally adaptive wavelet domain denosing method which adaptivly adjusts the threhold based on the maximum noise variance in various detail wavelet subbands will be given.Experimnetal results show that the proposed method always outperforms the traditional ways in noise removal and the edge details reservation for degraded images.