Image Fusion Using Non-Subsampled Contourlet Transform

Based on the user's original text, we can expand it into the following detailed explanation:

In the process of image fusion, implementing the Non-Subsampled Contourlet Transform (NSCT) is crucial. This transformation method employs multi-scale and multi-directional decomposition algorithms that effectively preserve image details and edge information through directional filter banks and pyramid decomposition structures. The NSCT implementation typically involves creating directional subbands at multiple scales without downsampling, which prevents the loss of critical image features during the transformation process.

Therefore, we need to integrate this method into the NSCT toolkit and utilize it during image fusion operations. The integration would involve configuring the decomposition parameters (such as pyramid levels and directional numbers) and implementing fusion rules for combining coefficients from different source images. This approach will enable us to obtain higher-quality fused images with enhanced clarity and detail preservation in the final results.

Note: This expansion maintains the original key concepts while adding technical implementation details and algorithmic descriptions relevant to the NSCT framework.