A WAVELET-BASED INTERPOLATION OF MEDICAL IMAGES
Hai Huang · 2002
In the case of medical image interpolation for 3D volume models, present methods lack the capability of interpolating gray levels and shapes at the same time. In order to solve the problem, the paper introduces a wavelet based medical image interpolation algorithm. Firstly, the algorithm decomposes the original images with wavelet analysis and obtains the positions of wavelet coefficients that belong to the edges. Then, the algorithm interpolates intensities and positions of those wavelet coefficients between corresponding wavelet sub images. So that the new image basically satisfies the requirements of medical image interpolation. Compared with linear interpolation and Kriging interpolation, the new algorithm has a good visual effect and the squared error is small. The interpolation can be effectively used to construct 3D volume models.