Infrared and visible image fusion algorithm based on NSCT and improved FT saliency detection

Key Points

• Image fusion significantly enhances visual clarity in images with varying light conditions, especially in dark environments.
• The algorithm improves the quality and saliency of the fused images by efficiently combining features from both image types.
• Saliency detection plays a crucial role in identifying important image areas and guiding the fusion process for better output.
• Utilizing non-subsampled contourlet transform (NSCT) enhances the feature extraction and fusion process.