Identifying of Noise Types for Computed Tomography Images Based on Wavelet Analysis
YU Xiao-e · Computerized Tomography Theory and Applications · 2011
To identify the noise types of CT image,corresponding method was used to improve the effect of image denoising,reduce the blindness.By analysis the energy distribution of the HH subband's coefficients in the wavelet domain,SNR of the histogram and area of curve fitting was used to distinguish Gaussian white noise and saltpepper noise in computed tomography images.We found histogram of the signal to noise ratio R equals 0.2,curve fitting map area A equals 60 are the distinguish lines between Gaussian white noise and saltpepper noise.The experiments on a wide variety of images show the veracity of this method in distinguishing noise.