Multiframe Medical Images Enhancement on Dual Tree Complex Wavelet Transform Domain

As a novel of multi-resolution analysis tool, dual tree complex wavelet transform (DTCWT) provides flexible multiresolution and directional expansion for medical image fusion. In this paper, a novel fusion method for multiframe medical images based on DTCWT is proposed. Contrary to present fusion methods, the proposed algorithm extends the 2 inputs model to multi inputs model. We take 8 input unclearly medical images as input. Then, we estimate the decomposed coefficients through the weighted soft threshold in each image, and choose the weighted coefficients. After DTCWT reconstruction, the clear image is gotten. During abundant experiments, we evaluate the proposed method both human visual and quantitative analysis. Compare with the-state-of-the-art methods, the new strategy for attaining image fusion with satisfactory performance.