Application of wavelet in CT for image reconstruction
Liang Liu · 2000
As a powerful tool in handling transient signal, wavelet analysis possesses multiresolution and localization in time(space) domain or frequency domain. The principle of wavelet is presented. The wavelet transformation in solving the perturbation equation is introduced. After the wavelet decomposition, we can get a multiresolution sparse matrix representation of the inverse problem, which make us induce an iterative algorithm. The computer simulation results show that wavelet analysis is efficient in image reconstruction for computed-tomography, and that the iterative algorithm is robust and converges rapidly.