Reconstruction of medical images using wavelet transforms

Abstract EN

Image interpolation techniques often are required in medical imaging for image generation and processing such as compression or resampling, since the ideal interpolation function spatially is unlimited, one of several interpolation kernels of finite size have been introduced.

This paper introduces a new image interpolation method based on 1-D wavelet transform (Daubchies transform) in this work, the image first transformed into a vector and then wavelet transform is applied to this vector.

The experimental results have shown that the quality of resampling images was improved using Daubchies transform.

These results are substantially better for (X-ray) image than other utilized images even if one component are adopted.

Although this technique has not proved quantitative and subjective results better than others interpolation methods, it can considered a fast algorithm.