Directive Contrast based Multimodal Medical Image Fusion in NSCT domain
Multimodal medical image fusion, as a powerful tool for the clinical applications, has developed with the advent of various imaging modalities in medical imaging. The main motivation is to capture most relevant information from sources into a single output, which plays an important role in medical diagnosis. In this work, a novel fusion framework is proposed for multimodal medical images based on non-subsampled contourlet transform (NSCT). Detailed description is given in the following paper:
Gaurav Bhatnagar, Q.M. Jonathan Wu and Zheng Liu, Directive Contrast based Multimodal Medical Image Fusion in NSCT domain, IEEE Transactions on Multimedia, vol. 15, no. 5, pp. 1014-1024, 2013.
A Matlab implementation of the proposed work (demo.m) is available here. You can download it for free and use it anywhere, but please refer to its original source (cite the above paper and this web page).
Downloading Steps:
Download RAR to your local disk. Then, send a request to goravb.uwindsor@gmail.com/goravb@iitj.ac.in from your official/institutional email. The successful applicants will receive the passwords for unzipping the files downloaded.
Note: This software requires Nonsubsampled Contourlet Toolbox provided by Arthur Cunha and can be downloaded from here and the lowpassfilter.m.