Objective Assessment of Multiresolution Image Fusion Algorithms for Context Enhancement in Night Vision: A Comparative Study
National Research Council Canada · University of Ottawa · +4 more institutions
Abstract
Comparison of image processing techniques is critically important in deciding which algorithm, method, or metric to use for enhanced image assessment. Image fusion is a popular choice for various image enhancement applications such as overlay of two image products, refinement of image resolutions for alignment, and image combination for feature extraction and target recognition. Since image fusion is used in many geospatial and night vision applications, it is important to understand these techniques and provide a comparative study of the methods. In this paper, we conduct a comparative study on 12 selected image fusion metrics over six multiresolution image fusion algorithms for two different fusion schemes…
Citation impact
- FWCI
- 37.50
- Percentile
- 100%
- References
- 48
Authors
6Topics & keywords
- Image fusion
- Artificial intelligence
- Computer science
- Image processing
- Feature detection (computer vision)
- Digital image processing
- Computer vision
- Context (archaeology)