Based on Wavelet Transformation Wiener Filter Projection Pretreatment Algorithm in Image Reconstruction Application
Mingquan Wang · Hedianzixue yu tance jishu · 2012
It has studied one algorithm which unifies the wavelet transformation and the Wiener filter using in projection data pretreatment.Because the wavelet transformation has the multiresolution analysis characteristic,through control from wavelet multicriterion analysis and the wavelet coefficient,and unify the Wiener filter's characteristic having the most superior performance on MMSE,propose one kind of the two unify method using in projection data denoising pretreatment.Carring on the experiment to this algorithm,the results show that after noise reduction,the reconstruction image subjective quality has distinct improvement,and the reconstruction image's noise obtains suppresses effectively.Comparing Wiener filter with wavelet denoising method,the peak value signal-to-noise ratio has the distinct enhancement.In peak value signal-to-noise ratio aspect,it can enhance 5-12dB compared to the general noise reduction methods.