Image Fusion: Challenges, Performance Metrics and Future Directions

摘要

Image fusion is a technique of fusing multiple images for better information and a more accurate image compared to source images. The applications of image fusion in the modern military, multi-focus image integration, pattern recognition, remote sensing, biomedical imaging, etc. In this paper discussed, advantages and drawbacks of newly arrived existing methods in the transform domain and spatial domain image fusion, universal acceptable flowchart for image fusion obtained from literature, different helpful datasets that are accessible to assess extensively image fusion algorithms, many performance metrics used to measure the performance of image fusion techniques and finally suggestions are made as per present research necessities of respectable performance with acceptable effort in image fusion.